Fast (Recursive) Splitting
rsplit.Rdrsplit (recursively) splits a vector, matrix or data frame into subsets according to combinations of (multiple) vectors / factors and returns a (nested) list. If flatten = TRUE, the list is flattened yielding the same result as split. rsplit is implemented as a wrapper around gsplit, and significantly faster than split.
Usage
rsplit(x, ...)
# S3 method for default
rsplit(x, fl, drop = TRUE, flatten = FALSE, use.names = TRUE, ...)
# S3 method for matrix
rsplit(x, fl, drop = TRUE, flatten = FALSE, use.names = TRUE,
drop.dim = FALSE, ...)
# S3 method for data.frame
rsplit(x, by, drop = TRUE, flatten = FALSE, cols = NULL,
keep.by = FALSE, simplify = TRUE, use.names = TRUE, ...)Arguments
- x
a vector, matrix, data.frame or list like object.
- fl
a
GRPobject, or a (list of) vector(s) / factor(s) (internally converted to aGRPobject(s)) used to splitx.- by
data.frame method: Same as
fl, but also allows one- or two-sided formulas i.e.~ group1orvar1 + var2 ~ group1 + group2. See Examples.- drop
logical.
TRUEremoves unused levels or combinations of levels from factors before splitting;FALSEretains those combinations yielding empty list elements in the output.- flatten
logical. If
flis a list of vectors / factors,TRUEcallsGRPon the list, creating a single grouping used for splitting;FALSEyields recursive splitting.- use.names
logical.
TRUEreturns a named list (likesplit);FALSEreturns a plain list.- drop.dim
logical.
TRUEreturns atomic vectors for matrix-splits consisting of one row.- cols
data.frame method: Select columns to split using a function, column names, indices or a logical vector. Note:
colsis ignored if a two-sided formula is passed toby.- keep.by
logical. If a formula is passed to
by, thenTRUEpreserves the splitting (right-hand-side) variables in the data frame.- simplify
data.frame method: Logical.
TRUEcallsrsplit.defaultif a single column is split e.g.rsplit(data, col1 ~ group1)becomes the same asrsplit(data$col1, data$group1).- ...
further arguments passed to
GRP. Sensible choices would besort = FALSE,decreasing = TRUEorna.last = FALSE. Note that these options only apply ifflis not already a (list of) factor(s).
Examples
rsplit(mtcars$mpg, mtcars$cyl)
#> $`4`
#> [1] 22.8 24.4 22.8 32.4 30.4 33.9 21.5 27.3 26.0 30.4 21.4
#>
#> $`6`
#> [1] 21.0 21.0 21.4 18.1 19.2 17.8 19.7
#>
#> $`8`
#> [1] 18.7 14.3 16.4 17.3 15.2 10.4 10.4 14.7 15.5 15.2 13.3 19.2 15.8 15.0
#>
rsplit(mtcars, mtcars$cyl)
#> $`4`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#> [ reached 'max' / getOption("max.print") -- omitted 5 rows ]
#>
#> $`6`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
#> Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
#> Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#> Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
#> [ reached 'max' / getOption("max.print") -- omitted 1 rows ]
#>
#> $`8`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Hornet Sportabout 18.7 8 360.0 175 3.15 3.44 17.02 0 0 3 2
#> Duster 360 14.3 8 360.0 245 3.21 3.57 15.84 0 0 3 4
#> Merc 450SE 16.4 8 275.8 180 3.07 4.07 17.40 0 0 3 3
#> Merc 450SL 17.3 8 275.8 180 3.07 3.73 17.60 0 0 3 3
#> Merc 450SLC 15.2 8 275.8 180 3.07 3.78 18.00 0 0 3 3
#> Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.25 17.98 0 0 3 4
#> [ reached 'max' / getOption("max.print") -- omitted 8 rows ]
#>
rsplit(mtcars, mtcars[.c(cyl, vs, am)])
#> $`4`
#> $`4`$`0`
#> $`4`$`0`$`1`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Porsche 914-2 26 4 120.3 91 4.43 2.14 16.7 0 1 5 2
#>
#>
#> $`4`$`1`
#> $`4`$`1`$`0`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
#>
#> $`4`$`1`$`1`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#> Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
#> Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
#> [ reached 'max' / getOption("max.print") -- omitted 1 rows ]
#>
#>
#>
#> $`6`
#> $`6`$`0`
#> $`6`$`0`$`1`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4
#> Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4
#> Ferrari Dino 19.7 6 145 175 3.62 2.770 15.50 0 1 5 6
#>
#>
#> $`6`$`1`
#> $`6`$`1`$`0`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#> Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
#>
#>
#>
#> $`8`
#> $`8`$`0`
#> $`8`$`0`$`0`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Hornet Sportabout 18.7 8 360.0 175 3.15 3.44 17.02 0 0 3 2
#> Duster 360 14.3 8 360.0 245 3.21 3.57 15.84 0 0 3 4
#> Merc 450SE 16.4 8 275.8 180 3.07 4.07 17.40 0 0 3 3
#> Merc 450SL 17.3 8 275.8 180 3.07 3.73 17.60 0 0 3 3
#> Merc 450SLC 15.2 8 275.8 180 3.07 3.78 18.00 0 0 3 3
#> Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.25 17.98 0 0 3 4
#> [ reached 'max' / getOption("max.print") -- omitted 6 rows ]
#>
#> $`8`$`0`$`1`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Ford Pantera L 15.8 8 351 264 4.22 3.17 14.5 0 1 5 4
#> Maserati Bora 15.0 8 301 335 3.54 3.57 14.6 0 1 5 8
#>
#>
#>
rsplit(mtcars, ~ cyl + vs + am, keep.by = TRUE) # Same thing
#> $`4`
#> $`4`$`0`
#> $`4`$`0`$`1`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Porsche 914-2 26 4 120.3 91 4.43 2.14 16.7 0 1 5 2
#>
#>
#> $`4`$`1`
#> $`4`$`1`$`0`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
#>
#> $`4`$`1`$`1`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#> Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
#> Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
#> [ reached 'max' / getOption("max.print") -- omitted 1 rows ]
#>
#>
#>
#> $`6`
#> $`6`$`0`
#> $`6`$`0`$`1`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4
#> Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4
#> Ferrari Dino 19.7 6 145 175 3.62 2.770 15.50 0 1 5 6
#>
#>
#> $`6`$`1`
#> $`6`$`1`$`0`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#> Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
#>
#>
#>
#> $`8`
#> $`8`$`0`
#> $`8`$`0`$`0`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Hornet Sportabout 18.7 8 360.0 175 3.15 3.44 17.02 0 0 3 2
#> Duster 360 14.3 8 360.0 245 3.21 3.57 15.84 0 0 3 4
#> Merc 450SE 16.4 8 275.8 180 3.07 4.07 17.40 0 0 3 3
#> Merc 450SL 17.3 8 275.8 180 3.07 3.73 17.60 0 0 3 3
#> Merc 450SLC 15.2 8 275.8 180 3.07 3.78 18.00 0 0 3 3
#> Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.25 17.98 0 0 3 4
#> [ reached 'max' / getOption("max.print") -- omitted 6 rows ]
#>
#> $`8`$`0`$`1`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Ford Pantera L 15.8 8 351 264 4.22 3.17 14.5 0 1 5 4
#> Maserati Bora 15.0 8 301 335 3.54 3.57 14.6 0 1 5 8
#>
#>
#>
rsplit(mtcars, ~ cyl + vs + am)
#> $`4`
#> $`4`$`0`
#> $`4`$`0`$`1`
#> mpg disp hp drat wt qsec gear carb
#> Porsche 914-2 26 120.3 91 4.43 2.14 16.7 5 2
#>
#>
#> $`4`$`1`
#> $`4`$`1`$`0`
#> mpg disp hp drat wt qsec gear carb
#> Merc 240D 24.4 146.7 62 3.69 3.190 20.00 4 2
#> Merc 230 22.8 140.8 95 3.92 3.150 22.90 4 2
#> Toyota Corona 21.5 120.1 97 3.70 2.465 20.01 3 1
#>
#> $`4`$`1`$`1`
#> mpg disp hp drat wt qsec gear carb
#> Datsun 710 22.8 108.0 93 3.85 2.320 18.61 4 1
#> Fiat 128 32.4 78.7 66 4.08 2.200 19.47 4 1
#> Honda Civic 30.4 75.7 52 4.93 1.615 18.52 4 2
#> Toyota Corolla 33.9 71.1 65 4.22 1.835 19.90 4 1
#> Fiat X1-9 27.3 79.0 66 4.08 1.935 18.90 4 1
#> Lotus Europa 30.4 95.1 113 3.77 1.513 16.90 5 2
#> Volvo 142E 21.4 121.0 109 4.11 2.780 18.60 4 2
#>
#>
#>
#> $`6`
#> $`6`$`0`
#> $`6`$`0`$`1`
#> mpg disp hp drat wt qsec gear carb
#> Mazda RX4 21.0 160 110 3.90 2.620 16.46 4 4
#> Mazda RX4 Wag 21.0 160 110 3.90 2.875 17.02 4 4
#> Ferrari Dino 19.7 145 175 3.62 2.770 15.50 5 6
#>
#>
#> $`6`$`1`
#> $`6`$`1`$`0`
#> mpg disp hp drat wt qsec gear carb
#> Hornet 4 Drive 21.4 258.0 110 3.08 3.215 19.44 3 1
#> Valiant 18.1 225.0 105 2.76 3.460 20.22 3 1
#> Merc 280 19.2 167.6 123 3.92 3.440 18.30 4 4
#> Merc 280C 17.8 167.6 123 3.92 3.440 18.90 4 4
#>
#>
#>
#> $`8`
#> $`8`$`0`
#> $`8`$`0`$`0`
#> mpg disp hp drat wt qsec gear carb
#> Hornet Sportabout 18.7 360.0 175 3.15 3.440 17.02 3 2
#> Duster 360 14.3 360.0 245 3.21 3.570 15.84 3 4
#> Merc 450SE 16.4 275.8 180 3.07 4.070 17.40 3 3
#> Merc 450SL 17.3 275.8 180 3.07 3.730 17.60 3 3
#> Merc 450SLC 15.2 275.8 180 3.07 3.780 18.00 3 3
#> Cadillac Fleetwood 10.4 472.0 205 2.93 5.250 17.98 3 4
#> Lincoln Continental 10.4 460.0 215 3.00 5.424 17.82 3 4
#> Chrysler Imperial 14.7 440.0 230 3.23 5.345 17.42 3 4
#> [ reached 'max' / getOption("max.print") -- omitted 4 rows ]
#>
#> $`8`$`0`$`1`
#> mpg disp hp drat wt qsec gear carb
#> Ford Pantera L 15.8 351 264 4.22 3.17 14.5 5 4
#> Maserati Bora 15.0 301 335 3.54 3.57 14.6 5 8
#>
#>
#>
rsplit(mtcars, ~ cyl + vs + am, flatten = TRUE)
#> $`4.0.1`
#> mpg disp hp drat wt qsec gear carb
#> Porsche 914-2 26 120.3 91 4.43 2.14 16.7 5 2
#>
#> $`4.1.0`
#> mpg disp hp drat wt qsec gear carb
#> Merc 240D 24.4 146.7 62 3.69 3.190 20.00 4 2
#> Merc 230 22.8 140.8 95 3.92 3.150 22.90 4 2
#> Toyota Corona 21.5 120.1 97 3.70 2.465 20.01 3 1
#>
#> $`4.1.1`
#> mpg disp hp drat wt qsec gear carb
#> Datsun 710 22.8 108.0 93 3.85 2.320 18.61 4 1
#> Fiat 128 32.4 78.7 66 4.08 2.200 19.47 4 1
#> Honda Civic 30.4 75.7 52 4.93 1.615 18.52 4 2
#> Toyota Corolla 33.9 71.1 65 4.22 1.835 19.90 4 1
#> Fiat X1-9 27.3 79.0 66 4.08 1.935 18.90 4 1
#> Lotus Europa 30.4 95.1 113 3.77 1.513 16.90 5 2
#> Volvo 142E 21.4 121.0 109 4.11 2.780 18.60 4 2
#>
#> $`6.0.1`
#> mpg disp hp drat wt qsec gear carb
#> Mazda RX4 21.0 160 110 3.90 2.620 16.46 4 4
#> Mazda RX4 Wag 21.0 160 110 3.90 2.875 17.02 4 4
#> Ferrari Dino 19.7 145 175 3.62 2.770 15.50 5 6
#>
#> $`6.1.0`
#> mpg disp hp drat wt qsec gear carb
#> Hornet 4 Drive 21.4 258.0 110 3.08 3.215 19.44 3 1
#> Valiant 18.1 225.0 105 2.76 3.460 20.22 3 1
#> Merc 280 19.2 167.6 123 3.92 3.440 18.30 4 4
#> Merc 280C 17.8 167.6 123 3.92 3.440 18.90 4 4
#>
#> $`8.0.0`
#> mpg disp hp drat wt qsec gear carb
#> Hornet Sportabout 18.7 360.0 175 3.15 3.440 17.02 3 2
#> Duster 360 14.3 360.0 245 3.21 3.570 15.84 3 4
#> Merc 450SE 16.4 275.8 180 3.07 4.070 17.40 3 3
#> Merc 450SL 17.3 275.8 180 3.07 3.730 17.60 3 3
#> Merc 450SLC 15.2 275.8 180 3.07 3.780 18.00 3 3
#> Cadillac Fleetwood 10.4 472.0 205 2.93 5.250 17.98 3 4
#> Lincoln Continental 10.4 460.0 215 3.00 5.424 17.82 3 4
#> Chrysler Imperial 14.7 440.0 230 3.23 5.345 17.42 3 4
#> [ reached 'max' / getOption("max.print") -- omitted 4 rows ]
#>
#> $`8.0.1`
#> mpg disp hp drat wt qsec gear carb
#> Ford Pantera L 15.8 351 264 4.22 3.17 14.5 5 4
#> Maserati Bora 15.0 301 335 3.54 3.57 14.6 5 8
#>
rsplit(mtcars, mpg ~ cyl)
#> $`4`
#> [1] 22.8 24.4 22.8 32.4 30.4 33.9 21.5 27.3 26.0 30.4 21.4
#>
#> $`6`
#> [1] 21.0 21.0 21.4 18.1 19.2 17.8 19.7
#>
#> $`8`
#> [1] 18.7 14.3 16.4 17.3 15.2 10.4 10.4 14.7 15.5 15.2 13.3 19.2 15.8 15.0
#>
rsplit(mtcars, mpg ~ cyl, simplify = FALSE)
#> $`4`
#> mpg
#> Datsun 710 22.8
#> Merc 240D 24.4
#> Merc 230 22.8
#> Fiat 128 32.4
#> Honda Civic 30.4
#> Toyota Corolla 33.9
#> Toyota Corona 21.5
#> Fiat X1-9 27.3
#> Porsche 914-2 26.0
#> Lotus Europa 30.4
#> Volvo 142E 21.4
#>
#> $`6`
#> mpg
#> Mazda RX4 21.0
#> Mazda RX4 Wag 21.0
#> Hornet 4 Drive 21.4
#> Valiant 18.1
#> Merc 280 19.2
#> Merc 280C 17.8
#> Ferrari Dino 19.7
#>
#> $`8`
#> mpg
#> Hornet Sportabout 18.7
#> Duster 360 14.3
#> Merc 450SE 16.4
#> Merc 450SL 17.3
#> Merc 450SLC 15.2
#> Cadillac Fleetwood 10.4
#> Lincoln Continental 10.4
#> Chrysler Imperial 14.7
#> Dodge Challenger 15.5
#> AMC Javelin 15.2
#> Camaro Z28 13.3
#> Pontiac Firebird 19.2
#> Ford Pantera L 15.8
#> Maserati Bora 15.0
#>
rsplit(mtcars, mpg + hp ~ cyl + vs + am)
#> $`4`
#> $`4`$`0`
#> $`4`$`0`$`1`
#> mpg hp
#> Porsche 914-2 26 91
#>
#>
#> $`4`$`1`
#> $`4`$`1`$`0`
#> mpg hp
#> Merc 240D 24.4 62
#> Merc 230 22.8 95
#> Toyota Corona 21.5 97
#>
#> $`4`$`1`$`1`
#> mpg hp
#> Datsun 710 22.8 93
#> Fiat 128 32.4 66
#> Honda Civic 30.4 52
#> Toyota Corolla 33.9 65
#> Fiat X1-9 27.3 66
#> Lotus Europa 30.4 113
#> Volvo 142E 21.4 109
#>
#>
#>
#> $`6`
#> $`6`$`0`
#> $`6`$`0`$`1`
#> mpg hp
#> Mazda RX4 21.0 110
#> Mazda RX4 Wag 21.0 110
#> Ferrari Dino 19.7 175
#>
#>
#> $`6`$`1`
#> $`6`$`1`$`0`
#> mpg hp
#> Hornet 4 Drive 21.4 110
#> Valiant 18.1 105
#> Merc 280 19.2 123
#> Merc 280C 17.8 123
#>
#>
#>
#> $`8`
#> $`8`$`0`
#> $`8`$`0`$`0`
#> mpg hp
#> Hornet Sportabout 18.7 175
#> Duster 360 14.3 245
#> Merc 450SE 16.4 180
#> Merc 450SL 17.3 180
#> Merc 450SLC 15.2 180
#> Cadillac Fleetwood 10.4 205
#> Lincoln Continental 10.4 215
#> Chrysler Imperial 14.7 230
#> Dodge Challenger 15.5 150
#> AMC Javelin 15.2 150
#> Camaro Z28 13.3 245
#> Pontiac Firebird 19.2 175
#>
#> $`8`$`0`$`1`
#> mpg hp
#> Ford Pantera L 15.8 264
#> Maserati Bora 15.0 335
#>
#>
#>
rsplit(mtcars, mpg + hp ~ cyl + vs + am, keep.by = TRUE)
#> $`4`
#> $`4`$`0`
#> $`4`$`0`$`1`
#> cyl vs am mpg hp
#> Porsche 914-2 4 0 1 26 91
#>
#>
#> $`4`$`1`
#> $`4`$`1`$`0`
#> cyl vs am mpg hp
#> Merc 240D 4 1 0 24.4 62
#> Merc 230 4 1 0 22.8 95
#> Toyota Corona 4 1 0 21.5 97
#>
#> $`4`$`1`$`1`
#> cyl vs am mpg hp
#> Datsun 710 4 1 1 22.8 93
#> Fiat 128 4 1 1 32.4 66
#> Honda Civic 4 1 1 30.4 52
#> Toyota Corolla 4 1 1 33.9 65
#> Fiat X1-9 4 1 1 27.3 66
#> Lotus Europa 4 1 1 30.4 113
#> Volvo 142E 4 1 1 21.4 109
#>
#>
#>
#> $`6`
#> $`6`$`0`
#> $`6`$`0`$`1`
#> cyl vs am mpg hp
#> Mazda RX4 6 0 1 21.0 110
#> Mazda RX4 Wag 6 0 1 21.0 110
#> Ferrari Dino 6 0 1 19.7 175
#>
#>
#> $`6`$`1`
#> $`6`$`1`$`0`
#> cyl vs am mpg hp
#> Hornet 4 Drive 6 1 0 21.4 110
#> Valiant 6 1 0 18.1 105
#> Merc 280 6 1 0 19.2 123
#> Merc 280C 6 1 0 17.8 123
#>
#>
#>
#> $`8`
#> $`8`$`0`
#> $`8`$`0`$`0`
#> cyl vs am mpg hp
#> Hornet Sportabout 8 0 0 18.7 175
#> Duster 360 8 0 0 14.3 245
#> Merc 450SE 8 0 0 16.4 180
#> Merc 450SL 8 0 0 17.3 180
#> Merc 450SLC 8 0 0 15.2 180
#> Cadillac Fleetwood 8 0 0 10.4 205
#> Lincoln Continental 8 0 0 10.4 215
#> Chrysler Imperial 8 0 0 14.7 230
#> Dodge Challenger 8 0 0 15.5 150
#> AMC Javelin 8 0 0 15.2 150
#> Camaro Z28 8 0 0 13.3 245
#> Pontiac Firebird 8 0 0 19.2 175
#>
#> $`8`$`0`$`1`
#> cyl vs am mpg hp
#> Ford Pantera L 8 0 1 15.8 264
#> Maserati Bora 8 0 1 15.0 335
#>
#>
#>
# Split this sectoral data, first by Variable (Emloyment and Value Added), then by Country
GGDCspl <- rsplit(GGDC10S, ~ Variable + Country, cols = 6:16)
str(GGDCspl)
#> List of 2
#> $ EMP:List of 42
#> ..$ ARG:'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] 1800 1835 1731 2030 1889 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] 32.7 34.4 35.6 33.8 33.3 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] 1603 1641 1690 1578 1722 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] 39.3 42.4 49.2 52.2 57.7 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] 314 353 311 292 330 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] 890 880 932 904 914 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] 425 428 462 455 469 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] 204 204 219 210 214 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] 825 818 881 870 894 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] 411 411 442 435 445 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] 6544 6647 6752 6859 6967 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ BOL:'data.frame': 61 obs. of 11 variables:
#> .. ..$ AGR : num [1:61] 1052 1019 987 976 946 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:61] 46.3 49.5 50.8 54.6 46.9 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:61] 117 117 115 122 141 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:61] 1.45 1.39 1.38 1.46 1.4 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:61] 26 37.8 48.2 34.3 33.5 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:61] 60.8 69.4 71.1 64.4 66.2 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:61] 23.1 22.9 27.7 28.8 32.5 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:61] 4.31 4.94 5.08 4.62 4.76 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:61] 119 113 114 121 121 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:61] 1450 1435 1421 1407 1393 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ BRA:'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] 12637 12886 13140 13400 13665 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] 96.8 98.2 99.6 101 102.4 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] 2254 2326 2399 2475 2554 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] 174 178 182 186 190 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] 709 731 754 777 801 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] 1332 1394 1458 1525 1596 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] 587 613 640 669 699 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] 461 489 518 549 583 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] 690 732 777 824 875 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] 694 737 782 830 881 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] 19635 20183 20749 21337 21945 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ BWA:'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] NA NA NA NA 152 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] NA NA NA NA 1.94 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] NA NA NA NA 2.42 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] NA NA NA NA 0.12 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] NA NA NA NA 2.7 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] NA NA NA NA 2.47 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] NA NA NA NA 2.31 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] NA NA NA NA 1.21 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] NA NA NA NA 4.51 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] NA NA NA NA 4.07 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] NA NA NA NA 174 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ CHL:'data.frame': 63 obs. of 11 variables:
#> .. ..$ AGR : num [1:63] 679 696 749 702 630 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:63] 108 130 113 119 103 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:63] 418 379 348 351 558 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:63] 21.2 24.2 19.4 19.6 16.8 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:63] 97.6 97.9 97.1 86.3 84.4 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:63] 225 222 241 256 218 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:63] 93.4 101.6 108.2 119.4 119.6 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:63] 50.5 53.9 51 52.8 46.8 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:63] 480 491 492 537 491 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:63] 2172 2196 2219 2243 2267 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ CHN:'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA 173170 177470 181510 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA 1610 1804 1979 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA 11653 13054 14325 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA 212 238 261 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA 1834 2055 2255 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA 4881 4936 4669 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA 3211 3247 3071 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA 1347 1362 1288 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA 6870 6946 6570 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA 2501 2529 2392 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA 207290 213640 218320 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ COL:'data.frame': 61 obs. of 11 variables:
#> .. ..$ AGR : num [1:61] 2094 2097 2145 2095 2074 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:61] 56.6 61.6 58.4 58.7 57.5 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:61] 421 422 425 443 459 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:61] 10.6 10.6 10.4 10.7 10.7 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:61] 120 114 117 142 180 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:61] 180 191 201 226 253 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:61] 117 136 144 149 156 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:61] 170 173 175 190 206 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:61] 541 576 576 610 604 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:61] 3710 3781 3852 3925 4000 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ CRI:'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] 153 161 165 158 160 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] 0.795 0.843 0.834 0.825 0.909 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] 29.1 31 30.8 30.6 33.9 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] 1.59 1.58 1.6 1.87 1.94 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] 11.4 10.1 11 14.8 15.4 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] 20.9 21 21.2 23.2 22.3 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] 9.27 8.81 9.08 9.64 10.17 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] 4.24 4.16 4.44 5.12 5.17 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] 25.8 24.9 25.1 29.3 30.4 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] 13.1 12.7 13.1 15.1 15.4 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] 269 276 282 289 296 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ DEW:'data.frame': 61 obs. of 11 variables:
#> .. ..$ AGR : num [1:61] 4837 4658 4520 4394 4275 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:61] 620 640 675 691 685 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:61] 6262 6638 6791 7036 7327 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:61] 154 158 167 169 173 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:61] 1489 1588 1673 1788 1922 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:61] 2745 2943 3120 3331 3510 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:61] 1005 1029 1062 1086 1120 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:61] 587 647 718 776 832 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:61] 2149 2175 2257 2326 2403 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:61] 531 530 547 566 587 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:61] 20379 21007 21527 22164 22832 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ DNK:'data.frame': 64 obs. of 11 variables:
#> .. ..$ AGR : num [1:64] 516 509 502 495 484 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:64] 30.9 29.5 28.1 26.7 25.3 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:64] 476 487 514 522 503 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:64] 10.8 10.8 11.1 11.3 11.4 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:64] 128 133 138 135 140 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:64] 345 345 360 367 374 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:64] 128 130 131 132 126 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:64] 83.4 82.5 80.2 78.4 80.3 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:64] 155 157 159 176 182 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:64] 91.2 92.1 92.9 94.1 92.8 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:64] 1963 1975 2016 2038 2020 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ EGY:'data.frame': 65 obs. of 11 variables:
#> .. ..$ AGR : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ ESP:'data.frame': 64 obs. of 11 variables:
#> .. ..$ AGR : num [1:64] NA NA 4339 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:64] NA NA 111 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:64] NA NA 1532 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:64] NA NA 42.9 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:64] NA NA 523 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:64] NA NA 1104 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:64] NA NA 383 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:64] NA NA 224 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:64] NA NA 592 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:64] NA NA 957 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:64] NA NA 9808 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ ETH:'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] NA 8960 9140 9323 9510 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] NA 0.401 0.535 0.535 0.669 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] NA 119 125 129 147 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] NA 1.44 1.74 2.2 2.52 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] NA 16.5 18.1 18.7 19.5 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] NA 75.4 85.3 94.7 111.2 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] NA 14 15.4 16.6 19.2 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] NA 13.8 13.7 13.6 13.4 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] NA 75.1 80.7 88.6 97.7 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] NA 39.2 50.5 54 59.3 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] NA 9315 9531 9741 9981 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ FRA:'data.frame': 64 obs. of 11 variables:
#> .. ..$ AGR : num [1:64] NA NA 5004 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:64] NA NA 212 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:64] NA NA 4637 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:64] NA NA 111 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:64] NA NA 1494 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:64] NA NA 2459 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:64] NA NA 946 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:64] NA NA 1177 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:64] NA NA 3234 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:64] NA NA 367 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:64] NA NA 19643 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ GBR:'data.frame': 64 obs. of 11 variables:
#> .. ..$ AGR : num [1:64] 1372 1368 1352 1317 1289 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:64] 1651 1647 1606 1610 1647 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:64] 7255 7388 7573 7747 7632 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:64] 269 281 296 304 312 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:64] 1669 1655 1654 1670 1661 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:64] 3321 3418 3452 3507 3529 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:64] 3673 3669 3679 3601 3615 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:64] 547 561 555 561 568 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:64] 4006 3881 3906 4045 4127 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:64] 647 626 621 610 621 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:64] 24410 24494 24694 24970 25001 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ GHA:'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] 1555 1576 1599 1621 1644 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] 47.4 46.5 44.7 45.8 38.8 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] 280 281 277 290 262 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] 13.95 12.86 11.6 11.15 8.88 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] 87.2 89.1 89.1 95 87 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] 365 378 383 414 407 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] 66.7 69.7 71.2 77.5 72.6 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] 7.03 7.47 7.76 8.59 8.18 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] 96.7 105.7 112.8 128.5 125.7 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] 44.2 46 46.8 50.8 47.4 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] 2562 2613 2642 2742 2701 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ HKG:'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ IDN:'data.frame': 63 obs. of 11 variables:
#> .. ..$ AGR : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ IND:'data.frame': 61 obs. of 11 variables:
#> .. ..$ AGR : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ ITA:'data.frame': 64 obs. of 11 variables:
#> .. ..$ AGR : num [1:64] NA NA NA 9517 9284 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:64] NA NA NA 39.9 41.9 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:64] NA NA NA 4025 4035 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:64] NA NA NA 96.7 99.6 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:64] NA NA NA 1108 1264 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:64] NA NA NA 1818 1913 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:64] NA NA NA 607 619 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:64] NA NA NA 364 368 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:64] NA NA NA 1791 1838 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:64] NA NA NA 773 787 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:64] NA NA NA 20139 20249 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ JPN:'data.frame': 63 obs. of 11 variables:
#> .. ..$ AGR : num [1:63] NA NA NA 17082 16570 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:63] NA NA NA 663 630 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:63] NA NA NA 6836 7074 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:63] NA NA NA 199 194 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:63] NA NA NA 1954 2038 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:63] NA NA NA 5952 6496 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:63] NA NA NA 1879 1830 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:63] NA NA NA 1509 1562 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:63] NA NA NA 3839 3974 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:63] NA NA NA 818 847 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:63] NA NA NA 40732 41216 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ KEN:'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ KOR:'data.frame': 61 obs. of 11 variables:
#> .. ..$ AGR : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ MEX:'data.frame': 63 obs. of 11 variables:
#> .. ..$ AGR : num [1:63] 4808 4781 4725 4748 4826 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:63] 96.8 94.7 101.6 100.1 94.9 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:63] 969 1002 1036 1060 1064 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:63] 24.9 25.3 25.9 27 26.6 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:63] 224 234 249 263 266 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:63] 682 708 727 751 737 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:63] 210 205 233 230 236 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:63] 86 89.1 94.8 93.6 101 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:63] 688 723 750 761 772 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:63] 421 443 459 465 472 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:63] 8210 8305 8401 8498 8596 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ MOR:'data.frame': 65 obs. of 11 variables:
#> .. ..$ AGR : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:65] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ MUS:'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] NA NA 67.2 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] NA NA 0.152 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] NA NA 26 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] NA NA 2.16 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] NA NA 18.8 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] NA NA 17.1 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] NA NA 11.2 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] NA NA 0.781 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] NA NA 15.8 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] NA NA 17.4 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] NA NA 177 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ MWI:'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ MYS:'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ NGA:'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] 13009 13182 13359 13537 13718 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] 42 42.4 35.6 26.8 24.6 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] 567 664 797 969 1079 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] 21 22.9 22.4 23 23.2 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] 252 240 212 202 199 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] 2155 2189 2227 2601 2893 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] 294 327 341 354 402 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] 42 42.4 42.8 42.1 45.7 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] 95 125 171 227 330 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] 163 217 263 314 418 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] 16640 17053 17470 18296 19133 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ NLD:'data.frame': 64 obs. of 11 variables:
#> .. ..$ AGR : num [1:64] NA 637 629 619 610 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:64] NA 61.5 NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:64] NA 1034 NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:64] NA 31.2 NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:64] NA 356 NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:64] NA 623 NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:64] NA 293 NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:64] NA 169 NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:64] NA 708 NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:64] NA 375 NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:64] NA 4288 629 619 610 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ PER:'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ PHL:'data.frame': 63 obs. of 11 variables:
#> .. ..$ AGR : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ SEN:'data.frame': 51 obs. of 11 variables:
#> .. ..$ AGR : num [1:51] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:51] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:51] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:51] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:51] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:51] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:51] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:51] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:51] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:51] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:51] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ SGP:'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ SWE:'data.frame': 64 obs. of 11 variables:
#> .. ..$ AGR : num [1:64] NA NA 735 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:64] NA NA 20.1 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:64] NA NA 971 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:64] NA NA 18.9 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:64] NA NA 273 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:64] NA NA 351 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:64] NA NA 263 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:64] NA NA 63.4 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:64] NA NA 451 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:64] NA NA 148 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:64] NA NA 3294 NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ THA:'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ TWN:'data.frame': 63 obs. of 11 variables:
#> .. ..$ AGR : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ TZA:'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] 4021 4119 4221 4324 4430 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] 5.98 5.48 4.91 3.84 4.06 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] 46.9 49.4 52.8 56.2 60.3 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] 1.23 4.3 4.54 4.75 4.56 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] 7.47 6.52 8.2 8.94 11.63 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] 42.4 53.7 54.8 56.8 62 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] 10.2 27.7 29.1 31.1 33 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] 4.05 5.13 5.27 5.5 6.05 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] 153 206 179 157 140 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] 91.3 123.3 107 93.7 83.6 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] 4383 4601 4666 4742 4835 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ USA:'data.frame': 64 obs. of 11 variables:
#> .. ..$ AGR : num [1:64] NA NA NA 5703 5375 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:64] NA NA NA 980 995 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:64] NA NA NA 15641 16868 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:64] NA NA NA 463 473 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:64] NA NA NA 3676 3927 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:64] NA NA NA 12579 13168 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:64] NA NA NA 4898 5160 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:64] NA NA NA 4238 4456 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:64] NA NA NA 11826 13900 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:64] NA NA NA 2534 2604 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:64] NA NA NA 62539 66926 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ VEN:'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] 695 729 733 727 678 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] 47 49.5 49.3 45.6 47 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] 164 160 174 194 219 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] 6.07 6.85 7.56 8.96 9.78 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] 97.1 113.2 119.5 106.7 121.9 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] 144 163 166 181 209 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] 54.6 55.2 54 65.6 72.2 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] 50.5 55.8 55.4 58.8 66.1 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] 309 287 313 339 360 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] 1567 1619 1672 1727 1783 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ ZAF:'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] 3375 3302 3231 3161 3091 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] 615 641 629 635 648 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] 644 668 697 731 795 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] 28.3 30.2 30.9 33.5 35 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] 276 269 272 283 320 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] 751 774 797 821 846 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] 205 216 227 242 253 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] 119 125 132 138 146 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] 323 337 355 354 362 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] 586 607 622 639 654 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] 6922 6969 6992 7038 7149 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ ZMB:'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> $ VA :List of 43
#> ..$ ARG :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] 5.89e-07 9.17e-07 9.96e-07 1.48e-06 1.40e-06 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] 3.53e-06 4.77e-06 5.35e-06 5.37e-06 6.56e-06 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] 0 0 0 0 0 0 0 0 0 0 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] 5.59e-07 6.66e-07 7.02e-07 6.78e-07 8.21e-07 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] 2.99e-06 4.43e-06 4.74e-06 4.97e-06 5.56e-06 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] 8.81e-07 1.27e-06 1.50e-06 1.58e-06 1.76e-06 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] 2.51e-07 3.12e-07 3.72e-07 4.37e-07 4.96e-07 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] 1.21e-06 1.68e-06 1.94e-06 2.19e-06 2.55e-06 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] 2.92e-07 3.95e-07 5.05e-07 5.69e-07 6.64e-07 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] 1.03e-05 1.44e-05 1.61e-05 1.73e-05 1.98e-05 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ BOL :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ BRA :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ BWA :'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] NA NA NA NA 16.3 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] NA NA NA NA 3.49 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] NA NA NA NA 0.737 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] NA NA NA NA 0.104 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] NA NA NA NA 0.66 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] NA NA NA NA 6.24 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] NA NA NA NA 1.66 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] NA NA NA NA 1.12 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] NA NA NA NA 4.82 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] NA NA NA NA 2.34 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] NA NA NA NA 37.5 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ CHL :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] 0.0149 0.0176 0.0251 0.0296 0.0449 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] 0.0189 0.0269 0.0317 0.0424 0.0631 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] 0.0129 0.0143 0.0189 0.0259 0.0752 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] 0.00131 0.00185 0.00211 0.00287 0.00438 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] 0.0114 0.0132 0.0174 0.0196 0.0322 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] 0.0198 0.0247 0.0347 0.0485 0.0734 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] 0.0137 0.0164 0.0247 0.0343 0.0578 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] 0.0279 0.0347 0.0452 0.0611 0.086 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] 0.0322 0.0385 0.0517 0.0723 0.1135 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] 0.153 0.188 0.251 0.337 0.551 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ CHN :'data.frame': 63 obs. of 11 variables:
#> .. ..$ AGR : num [1:63] NA NA 34598 38139 39552 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:63] NA NA 1366 1855 2040 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:63] NA NA 11010 14947 16437 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:63] NA NA 681 924 1017 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:63] NA NA 2200 2900 2700 3100 5600 4600 6900 7700 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:63] NA NA 8470 12183 12690 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:63] NA NA 3080 3717 4036 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:63] NA NA 2247 2157 2157 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:63] NA NA 3049 4015 3710 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:63] NA NA 781 1028 950 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:63] NA NA 67482 81866 85288 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ COL :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] 3305 3632 3859 4290 5003 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] 223 286 350 370 394 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] 1818 1995 2209 2819 3206 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] 50.3 56.3 62.3 82.7 83.9 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] 355 380 412 489 618 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] 1600 1585 1820 2111 2490 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] 589 714 783 856 988 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] 754 869 923 960 1027 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] 1365 1539 1749 1896 2158 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] 10059 11057 12167 13873 15968 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ CRI :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] 371 398 439 475 495 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] 1.73 1.86 2.03 2.2 2.34 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] 306 330 361 391 415 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] 17.4 19 20.7 22.3 23.7 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] 117 125 137 148 158 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] 320 345 375 404 426 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] 108 120 133 145 153 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] 123 135 146 158 168 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] 106 117 131 145 164 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] 50 55.1 61.8 68.5 77.3 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] 1520 1646 1806 1960 2082 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ DEW :'data.frame': 61 obs. of 11 variables:
#> .. ..$ AGR : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:61] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ DNK :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ EGY :'data.frame': 64 obs. of 11 variables:
#> .. ..$ AGR : num [1:64] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:64] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:64] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:64] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:64] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:64] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:64] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:64] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:64] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:64] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:64] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ ESP :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ ETH :'data.frame': 53 obs. of 11 variables:
#> .. ..$ AGR : num [1:53] NA 4496 4514 4669 5129 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:53] NA 11.9 15.8 15.8 19.8 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:53] NA 110 121 127 150 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:53] NA 31.6 31.6 37.9 44.2 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:53] NA 284 313 323 339 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:53] NA 334 358 389 487 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:53] NA 62.4 66.8 72.1 85.3 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:53] NA 19 20.9 23.7 26.6 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:53] NA 91.8 113.5 117.6 129 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:53] NA 106 111 120 143 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:53] NA 5547 5665 5896 6552 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ FRA :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ GBR :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ GHA :'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] 0.0358 0.0382 0.0405 0.0452 0.0508 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] 0.0051 0.00546 0.00579 0.00645 0.00724 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] 0.0174 0.0187 0.0198 0.022 0.0248 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] 0.00078 0.000834 0.000884 0.000985 0.001107 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] 0.016 0.0171 0.0181 0.0202 0.0227 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] 0.00906 0.00968 0.01027 0.01144 0.01286 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] 0.0195 0.0209 0.0221 0.0247 0.0277 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] 0.00651 0.00589 0.00634 0.00725 0.00792 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] 0.0185 0.0198 0.021 0.0234 0.0263 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] 0.00144 0.00154 0.00163 0.00182 0.00204 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] 0.13 0.138 0.146 0.163 0.183 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ HKG :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ IDN :'data.frame': 63 obs. of 11 variables:
#> .. ..$ AGR : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ IND :'data.frame': 63 obs. of 11 variables:
#> .. ..$ AGR : num [1:63] 52242 53942 52545 57895 49249 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:63] 733 817 841 853 889 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:63] 10957 12158 11446 12902 13381 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:63] 252 309 320 343 378 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:63] 2581 2949 2734 2744 3052 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:63] 6540 6951 7063 7552 7685 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:63] 3185 3570 3529 3702 3874 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:63] 7177 7723 8156 8797 9423 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:63] 5008 5253 5384 5742 6100 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:63] 2999 3116 3232 3326 3354 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:63] 91673 96788 95250 103857 97384 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ ITA :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ JPN :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA 1136846 1256178 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA 170793 180088 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA 1974868 2073194 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA 141430 163909 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA 292007 301608 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA 967553 1105979 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA 478903 556146 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA 434033 495936 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA 882683 1008780 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA 161783 184894 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA 6640899 7326712 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ KEN :'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] 4910 4714 5613 6043 6100 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] 59.7 43.4 43.4 48.8 83 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] 818 863 875 928 1083 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] 299 299 352 384 414 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] 447 441 385 277 294 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] 549 561 570 604 669 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] 626 650 687 758 804 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] 284 308 316 335 388 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] 841 912 950 973 1138 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] 374 340 343 372 406 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] 9208 9133 10134 10723 11378 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ KOR :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA 22697 26809 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA 724 888 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA 4012 7199 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA 204 297 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA 852 1441 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA 2442 4452 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA 2447 3581 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA 8701 11218 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA 5647 10541 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA 47726 66426 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ MEX :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] 10.9 13.1 13.9 14.6 18.1 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] 3.2 4.18 4.61 3.96 4.75 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] 9.24 11.9 13.18 13.48 16.19 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] 0.282 0.358 0.429 0.48 0.567 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] 1.34 2.03 2.63 1.95 2.57 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] 13.1 18.3 20.4 19.2 23.8 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] 4.25 5.22 6.13 6.34 6.86 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] 3.07 3.6 4.46 4.71 5.77 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] 2.31 2.72 3.15 3.47 4.22 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] 0.653 0.769 0.891 0.984 1.195 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] 48.3 62.2 69.8 69.2 84 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ MOR :'data.frame': 63 obs. of 11 variables:
#> .. ..$ AGR : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ MUS :'data.frame': 53 obs. of 11 variables:
#> .. ..$ AGR : num [1:53] 106 182 178 293 177 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:53] 22 22 22 22 22 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:53] 68.5 118.5 119.5 178.2 120.4 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:53] 29.9 22.2 22.6 21.7 22.2 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:53] 34.9 40.7 49.5 61.1 61.1 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:53] 96.4 106.5 106.5 113.7 125.2 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:53] 102 112 116 133 117 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:53] 32.6 32.6 35.1 37.6 37.6 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:53] 64.2 68.9 73.7 78.4 83.2 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:53] 11.2 11.7 12.5 13.1 13.8 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:53] 567 717 735 952 780 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ MWI :'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] 81.1 84.9 88.3 94.6 87.7 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] 0.585 0.63 0.652 0.922 0.854 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] 8.73 9.4 9.73 13.76 12.75 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] 1.33 1.99 1.66 1.99 1.99 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] 7.93 7.13 7.13 7.53 10.7 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] 22.2 21.8 21.8 23.4 23.4 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] 12.1 13.2 14.2 14.2 13.2 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] 0.732 0.619 0.628 0.86 1.204 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] 17 18.7 21.3 23 50.2 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] 2.94 3.1 3.25 3.33 17.57 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] 155 161 169 183 220 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ MYS :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ NGA :'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] 1903 1955 2156 2247 2250 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] 25.3 41.5 52.6 53.4 71.3 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] 357 405 483 571 573 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] 63.8 77.1 77.1 97.1 114.4 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] 145 163 173 181 210 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] 507 523 559 619 680 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] 97.4 116 123.4 130.4 152.2 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] 48.5 55.3 57.8 65 75.1 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] 67.2 72.6 77.6 81.3 94.9 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] 51.6 56.7 64.4 71.1 81.2 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] 3266 3466 3824 4116 4303 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ NGA(alt):'data.frame': 4 obs. of 11 variables:
#> .. ..$ AGR : num [1:4] 12988809 14421929 15918632 17625143
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:4] 8454554 11140408 11382588 11631349
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:4] 3578642 4085393 4744699 5476303
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:4] 388270 569933 754282 961717
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:4] 1570973 1819803 2142754 2502582
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:4] 9156043 10608005 12170934 13732584
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:4] 6655717 7508984 8573386 9773442
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:4] 7095640 8179975 9848171 11650290
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:4] 3385190 3862789 4422719 5056768
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:4] 930958 1061360 1228371 1411950
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:4] 54204795 63258579 71186535 79822128
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ NLD :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ PER :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] 7.8 9.59 9.85 10.17 10.85 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] 2.45 3.35 3.55 3.74 4.72 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] 2.04 2.32 2.67 3.03 3.72 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] 0.281 0.344 0.389 0.407 0.441 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] 0.43 0.527 0.596 0.623 0.676 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] 1.76 2.15 2.5 2.69 2.82 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] 1.64 2.01 2.27 2.38 2.58 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] -7.26 -8.51 -13.76 -13.82 -14.94 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] 1.37 1.72 2.28 2.58 2.71 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] 10.5 13.5 10.3 11.8 13.6 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ PHL :'data.frame': 63 obs. of 11 variables:
#> .. ..$ AGR : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ SEN :'data.frame': 51 obs. of 11 variables:
#> .. ..$ AGR : num [1:51] 47013 49204 52369 47237 51412 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:51] 2033 2222 1843 1811 1958 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:51] 14586 15805 16212 18428 19915 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:51] 4658 5092 4224 4151 4486 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:51] 2515 2601 3086 3024 3174 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:51] 37244 41224 44208 47604 48727 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:51] 9903 10068 10524 10689 11561 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:51] 3157 2672 2710 3400 3342 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:51] 29462 29462 29462 35993 36363 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:51] 3627 3627 3627 4431 4476 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:51] 154198 161976 168266 176768 185413 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ SGP :'data.frame': 63 obs. of 11 variables:
#> .. ..$ AGR : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ SWE :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ THA :'data.frame': 62 obs. of 11 variables:
#> .. ..$ AGR : num [1:62] NA 12192 11161 12087 11062 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:62] NA 334 349 328 340 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:62] NA 3845 4358 4923 5008 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:62] NA 42.2 47.7 58.1 81.4 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:62] NA 541 784 887 898 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:62] NA 6065 6760 6955 7364 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:62] NA 810 1068 1481 1618 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:62] NA 52.3 57 62.9 99.3 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:62] NA 1765 2972 3094 3599 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:62] NA 529 592 688 698 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:62] NA 26176 28150 30564 30767 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ TWN :'data.frame': 63 obs. of 11 variables:
#> .. ..$ AGR : num [1:63] NA 3959 5529 7867 7027 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:63] NA 191 391 448 543 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:63] NA 1767 2148 2804 3848 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:63] NA 141 149 203 224 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:63] NA 449 620 870 1233 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:63] NA 1667 3035 4176 4264 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:63] NA 517 701 863 950 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:63] NA 720 926 1225 1360 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:63] NA 1567 1947 2377 3045 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:63] NA 355 442 520 590 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:63] NA 11334 15886 21354 23083 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ TZA :'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] 2696 2727 2969 3332 3394 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] 334 353 327 282 385 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] 1503 1912 2104 2131 2322 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] 98.5 115 123.2 131.4 147.8 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] 380 480 504 513 604 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] 1881 1992 2142 2291 2571 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] 700 692 756 756 805 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] 510 540 581 622 698 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] 1702 1978 2224 2239 2423 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] 458 497 516 575 621 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] 10263 11286 12246 12873 13970 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ USA :'data.frame': 65 obs. of 11 variables:
#> .. ..$ AGR : num [1:65] 19219 22268 18045 19217 22150 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:65] 5688 7922 6849 7901 8676 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:65] 59475 67616 65369 76046 89611 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:65] 4072 5160 5160 5904 6994 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:65] 7362 8341 9495 10481 12045 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:65] 52321 56739 56224 60339 66545 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:65] 18304 20651 20313 22658 25554 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:65] 35003 38985 42001 45917 50686 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:65] 38109 37691 39314 39649 48780 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:65] 4534 4915 5062 5421 5915 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:65] 244086 270289 267831 293534 336958 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ VEN :'data.frame': 63 obs. of 11 variables:
#> .. ..$ AGR : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:63] NA NA NA NA NA NA NA NA NA NA ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ ZAF :'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] 559 608 622 678 646 687 774 950 863 907 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] 618 638 674 702 757 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] 1001 1088 1166 1336 1513 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] 120 131 141 153 165 177 196 222 246 271 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] 149 144 154 180 234 291 315 337 366 414 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] 694 715 783 883 973 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] 495 504 548 610 675 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] 260 284 292 314 374 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] 446 477 511 564 618 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] 378 401 421 446 479 513 557 598 647 699 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] 4720 4990 5312 5866 6434 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> ..$ ZMB :'data.frame': 52 obs. of 11 variables:
#> .. ..$ AGR : num [1:52] 54.7 58.8 56.2 62.2 64.4 ...
#> .. .. ..- attr(*, "label")= chr "Agriculture "
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MIN : num [1:52] 410 371 359 368 421 ...
#> .. .. ..- attr(*, "label")= chr "Mining"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ MAN : num [1:52] 6.79 8.51 8.59 9.81 11.53 ...
#> .. .. ..- attr(*, "label")= chr "Manufacturing"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ PU : num [1:52] 26.4 24.4 25.1 27 22.5 ...
#> .. .. ..- attr(*, "label")= chr "Utilities"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ CON : num [1:52] 30.6 26.4 23.7 24.9 30 ...
#> .. .. ..- attr(*, "label")= chr "Construction"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ WRT : num [1:52] 48.4 48.1 51.4 51.7 75.4 ...
#> .. .. ..- attr(*, "label")= chr "Trade, restaurants and hotels"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ TRA : num [1:52] 58.9 55.5 55.5 56.1 58.4 ...
#> .. .. ..- attr(*, "label")= chr "Transport, storage and communication"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ FIRE: num [1:52] 5.46 5.21 5.59 5.94 5.58 ...
#> .. .. ..- attr(*, "label")= chr "Finance, insurance, real estate and business services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ GOV : num [1:52] 47.5 52.6 57.8 60.3 68 ...
#> .. .. ..- attr(*, "label")= chr "Government services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ OTH : num [1:52] 5.09 5.18 5.27 5.75 5.87 ...
#> .. .. ..- attr(*, "label")= chr "Community, social and personal services"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
#> .. ..$ SUM : num [1:52] 693 656 648 672 763 ...
#> .. .. ..- attr(*, "label")= chr "Summation of sector GDP"
#> .. .. ..- attr(*, "format.stata")= chr "%10.0g"
# The nested list can be reassembled using unlist2d()
head(unlist2d(GGDCspl, idcols = .c(Variable, Country)))
#> Variable Country AGR MIN MAN PU CON WRT
#> 1 EMP ARG 1799.565 32.71936 1603.249 39.26323 314.1059 889.9666
#> 2 EMP ARG 1835.181 34.37387 1640.927 42.43318 353.4173 879.7295
#> 3 EMP ARG 1730.611 35.55357 1690.117 49.16048 311.3910 932.2140
#> 4 EMP ARG 2029.762 33.83809 1578.124 52.20825 291.6067 903.6310
#> 5 EMP ARG 1889.316 33.34185 1721.997 57.66520 330.1971 913.8400
#> TRA FIRE GOV OTH SUM
#> 1 425.3517 203.8384 824.9212 410.8922 6543.872
#> 2 427.9257 204.0642 817.7359 411.4769 6647.265
#> 3 461.5084 218.9973 881.0104 441.7270 6752.291
#> 4 455.3023 209.7324 870.0849 434.6854 6858.976
#> 5 468.6230 213.7772 893.7040 444.8849 6967.347
#> [ reached 'max' / getOption("max.print") -- omitted 1 rows ]
rm(GGDCspl)
# Another example with mtcars (not as clean because of row.names)
nl <- rsplit(mtcars, mpg + hp ~ cyl + vs + am)
str(nl)
#> List of 3
#> $ 4:List of 2
#> ..$ 0:List of 1
#> .. ..$ 1:'data.frame': 1 obs. of 2 variables:
#> .. .. ..$ mpg: num 26
#> .. .. ..$ hp : num 91
#> ..$ 1:List of 2
#> .. ..$ 0:'data.frame': 3 obs. of 2 variables:
#> .. .. ..$ mpg: num [1:3] 24.4 22.8 21.5
#> .. .. ..$ hp : num [1:3] 62 95 97
#> .. ..$ 1:'data.frame': 7 obs. of 2 variables:
#> .. .. ..$ mpg: num [1:7] 22.8 32.4 30.4 33.9 27.3 30.4 21.4
#> .. .. ..$ hp : num [1:7] 93 66 52 65 66 113 109
#> $ 6:List of 2
#> ..$ 0:List of 1
#> .. ..$ 1:'data.frame': 3 obs. of 2 variables:
#> .. .. ..$ mpg: num [1:3] 21 21 19.7
#> .. .. ..$ hp : num [1:3] 110 110 175
#> ..$ 1:List of 1
#> .. ..$ 0:'data.frame': 4 obs. of 2 variables:
#> .. .. ..$ mpg: num [1:4] 21.4 18.1 19.2 17.8
#> .. .. ..$ hp : num [1:4] 110 105 123 123
#> $ 8:List of 1
#> ..$ 0:List of 2
#> .. ..$ 0:'data.frame': 12 obs. of 2 variables:
#> .. .. ..$ mpg: num [1:12] 18.7 14.3 16.4 17.3 15.2 10.4 10.4 14.7 15.5 15.2 ...
#> .. .. ..$ hp : num [1:12] 175 245 180 180 180 205 215 230 150 150 ...
#> .. ..$ 1:'data.frame': 2 obs. of 2 variables:
#> .. .. ..$ mpg: num [1:2] 15.8 15
#> .. .. ..$ hp : num [1:2] 264 335
unlist2d(nl, idcols = .c(cyl, vs, am), row.names = "car")
#> cyl vs am car mpg hp
#> 1 4 0 1 Porsche 914-2 26.0 91
#> 2 4 1 0 Merc 240D 24.4 62
#> 3 4 1 0 Merc 230 22.8 95
#> 4 4 1 0 Toyota Corona 21.5 97
#> 5 4 1 1 Datsun 710 22.8 93
#> 6 4 1 1 Fiat 128 32.4 66
#> 7 4 1 1 Honda Civic 30.4 52
#> 8 4 1 1 Toyota Corolla 33.9 65
#> 9 4 1 1 Fiat X1-9 27.3 66
#> 10 4 1 1 Lotus Europa 30.4 113
#> 11 4 1 1 Volvo 142E 21.4 109
#> [ reached 'max' / getOption("max.print") -- omitted 21 rows ]
rm(nl)