A fast substitute for dplyr::arrange. It returns a sorted copy of the data frame, unless the data is already sorted in which case no copy is made. In addition, rows can be manually re-ordered. Use data.table::setorder to sort a data frame without creating a copy.

roworder(X, ..., na.last = TRUE)

roworderv(X, cols = NULL, neworder = NULL, decreasing = FALSE,
          na.last = TRUE, pos = c("front","end","exchange"))

Arguments

X

a data frame or list of equal-length columns.

...

comma-separated columns of X to sort by e.g. var1, var2. Negatives i.e. -var1, var2 can be used to sort in decreasing order of var1.

cols

select columns to sort by using a function, column names, indices or a logical vector. The default NULL sorts by all columns in order of occurrence (from left to right).

na.last

logical. If TRUE, missing values in the sorting columns are placed last; if FALSE, they are placed first; if NA they are removed (argument passed to radixorderv).

decreasing

logical. Should the sort order be increasing or decreasing? Can also be a vector of length equal to the number of arguments in cols (argument passed to radixorderv).

neworder

an ordering vector, can be < nrow(X). if pos = "front" or pos = "end", a logical vector can also be supplied. This argument overwrites cols.

pos

integer or character. Different arrangement options if !is.null(neworder) && length(neworder) < nrow(X).

Int. String Description
1"front"move rows in neworder to the front (top) of X (the default).
2"end"move rows in neworder to the end (bottom) of X.
3"exchange"just exchange the order of rows in neworder, other rows remain in the same position.

Value

A copy of X with rows reordered. If X is already sorted, X is simply returned.

Note

If you don't require a copy of the data, use data.table::setorder (you can also use it in a piped call as it invisibly returns the data).

See also

Examples

head(roworder(airquality, Month, -Ozone))
#> Ozone Solar.R Wind Temp Month Day #> 1 115 223 5.7 79 5 30 #> 2 45 252 14.9 81 5 29 #> 3 41 190 7.4 67 5 1 #> 4 37 279 7.4 76 5 31 #> 5 36 118 8.0 72 5 2 #> 6 34 307 12.0 66 5 17
head(roworder(airquality, Month, -Ozone, na.last = NA)) # Removes the missing values in Ozone
#> Ozone Solar.R Wind Temp Month Day #> 1 115 223 5.7 79 5 30 #> 2 45 252 14.9 81 5 29 #> 3 41 190 7.4 67 5 1 #> 4 37 279 7.4 76 5 31 #> 5 36 118 8.0 72 5 2 #> 6 34 307 12.0 66 5 17
## Same in standard evaluation head(roworderv(airquality, c("Month", "Ozone"), decreasing = c(FALSE, TRUE)))
#> Ozone Solar.R Wind Temp Month Day #> 1 115 223 5.7 79 5 30 #> 2 45 252 14.9 81 5 29 #> 3 41 190 7.4 67 5 1 #> 4 37 279 7.4 76 5 31 #> 5 36 118 8.0 72 5 2 #> 6 34 307 12.0 66 5 17
head(roworderv(airquality, c("Month", "Ozone"), decreasing = c(FALSE, TRUE), na.last = NA))
#> Ozone Solar.R Wind Temp Month Day #> 1 115 223 5.7 79 5 30 #> 2 45 252 14.9 81 5 29 #> 3 41 190 7.4 67 5 1 #> 4 37 279 7.4 76 5 31 #> 5 36 118 8.0 72 5 2 #> 6 34 307 12.0 66 5 17
## Custom reordering head(roworderv(mtcars, neworder = 3:4)) # Bring rows 3 and 4 to the front
#> mpg cyl disp hp drat wt qsec vs am gear carb #> Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1 #> Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1 #> 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 #> Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2 #> Valiant 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1
head(roworderv(mtcars, neworder = 3:4, pos = "end")) # Bring them to the end
#> 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 Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 #> Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 #> Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 #> Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
head(roworderv(mtcars, neworder = mtcars$vs == 1)) # Bring rows with vs == 1 to the top
#> 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 #> 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 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 #> Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4