collapse-package collapse
collapse-documentation
Collapse Documentation & Overview

## Fast Statistical Functions

Fast (grouped and weighted) statistical functions for vector, matrix, data frame and grouped tibble (class ‘grouped_df’, dplyr compatible).

fast-statistical-functions
Fast (Grouped, Weighted) Statistical Functions for Matrix-Like Objects
fmean()
Fast (Grouped, Weighted) Mean for Matrix-Like Objects
fnth() fmedian()
Fast (Grouped, Weighted) N'th Element/Quantile for Matrix-Like Objects
fmode()
Fast (Grouped, Weighted) Statistical Mode for Matrix-Like Objects
fsum()
Fast (Grouped, Weighted) Sum for Matrix-Like Objects
fprod()
Fast (Grouped, Weighted) Product for Matrix-Like Objects
fvar() fsd()
Fast (Grouped, Weighted) Variance and Standard Deviation for Matrix-Like Objects
fmax() fmin()
Fast (Grouped) Maxima and Minima for Matrix-Like Objects
ffirst() flast()
Fast (Grouped) First and Last Value for Matrix-Like Objects
fnobs()
Fast (Grouped) Observation Count for Matrix-Like Objects
fndistinct()
Fast (Grouped) Distinct Value Count for Matrix-Like Objects

## Fast Grouping and Ordering

Fast (ordered) groupings from vectors, data.frames, lists. Fast ordering, matching, unique values/rows and counts, factor generation and interactions, run-length type grouping and grouping of time-sequences.

fast-grouping-ordering
Fast Grouping and Ordering
GRP() is_GRP() length(<GRP>) GRPN() GRPid() GRPnames() as_factor_GRP() gsplit() greorder() fgroup_by() fgroup_vars() fungroup() print(<GRP>) plot(<GRP>)
Fast Grouping / collapse Grouping Objects
radixorder() radixorderv()
group()
Fast Hash-Based Grouping
fmatch() ckmatch() %!in% %iin% %!iin%
Fast Matching
funique() fnunique() fduplicated() any_duplicated()
Fast Unique Elements / Rows
fcount() fcountv()
Efficiently Count Observations by Group
qF() qG() is_qG() as_factor_qG() finteraction()
Fast Factor Generation, Interactions and Vector Grouping
fdroplevels()
Fast Removal of Unused Factor Levels
groupid()
Generate Run-Length Type Group-Id
seqid()
Generate Group-Id from Integer Sequences
timeid()
Generate Integer-Id From Time/Date Sequences

## Fast Data Manipulation

Fast and flexible select, replace, add, subset, transform, sort/reorder, rename/relabel, bind, join and pivot/reshape data / data frame columns.

fast-data-manipulation
Fast Data Manipulation
fselect() fselect<-() get_vars() get_vars<-() add_vars() add_vars<-() num_vars() num_vars<-() cat_vars() cat_vars<-() char_vars() char_vars<-() fact_vars() fact_vars<-() logi_vars() logi_vars<-() date_vars() date_vars<-()
Fast Select, Replace or Add Data Frame Columns
fsubset() ss()
Fast Subsetting Matrix-Like Objects
fsummarise() fsummarize()
Fast Summarise
fmutate() ftransform() ftransformv() settransform() settransformv() ftransform<-() fcompute() fcomputev()
Fast Transform and Compute Columns on a Data Frame
across()
Apply Functions Across Multiple Columns
roworder() roworderv()
Fast Reordering of Data Frame Rows
colorder() colorderv()
Fast Reordering of Data Frame Columns
frename() setrename() relabel() setrelabel()
Fast Renaming and Relabelling Objects
rowbind()
Row-Bind Lists / Data Frame-Like Objects
join()
Fast Table Joins
pivot()
Fast and Easy Data Reshaping

## Quick Data Conversion

Quick conversions between data.frame’s, data.table’s, tibbles, matrices, arrays, lists, vectors and factors - fast and flexible, without method dispatch or extensive checks.

qDF() qDT() qTBL() qM() mctl() mrtl() as_numeric_factor() as_character_factor()
Quick Data Conversion
qF() qG() is_qG() as_factor_qG() finteraction()
Fast Factor Generation, Interactions and Vector Grouping

Fast and easy multi-data-type, multi-function, weighted and parallelized data aggregation.

collap() collapv() collapg()

## Data Transformations

Fast row/column arithmetic, efficient row/column apply to data objects and Split-Apply-Combine computing. Fast (grouped, weighted) replacing and sweeping out of statistics, scaling/standardizing, (quasi-)centering, higher-dimensional centering, linear prediction/partialling-out.

data-transformations
Data Transformations
%rr% %r+% %r-% %r*% %r/% %cr% %c+% %c-% %c*% %c/%
Fast Row/Column Arithmetic for Matrix-Like Objects
dapply()
Data Apply
BY()
Split-Apply-Combine Computing
TRA() setTRA()
Transform Data by (Grouped) Replacing or Sweeping out Statistics
fscale() STD()
Fast (Grouped, Weighted) Scaling and Centering of Matrix-like Objects
fbetween() fwithin() B() W()
Fast Between (Averaging) and (Quasi-)Within (Centering) Transformations
fhdbetween() fhdwithin() HDB() HDW()
Higher-Dimensional Centering and Linear Prediction

## Linear Models

Fast (weighted) linear model fitting. A fast F-test for high-dimensional linear models.

flm()
Fast (Weighted) Linear Model Fitting
fFtest()
Fast (Weighted) F-test for Linear Models (with Factors)

## Time Series and Panel Series

Fast and flexible indexed time series and panel data classes, (sequences of) lags/leads, and (lagged/leaded, iterated, quasi-, log-) differences and (compounded) growth rates on (irregular) time series and panel data. Auto-, partial- and cross-correlation functions for panel data. Panel data to (ts-)array conversion.

time-series-panel-series
Time Series and Panel Series
findex_by() findex() unindex() reindex() is_irregular() to_plm() print(<index_df>)
Fast Indexed Time Series and Panels
timeid()
Generate Integer-Id From Time/Date Sequences
flag() L()
Fast Lags and Leads for Time Series and Panel Data
fdiff() D() Dlog()
Fast (Quasi-, Log-) Differences for Time Series and Panel Data
fgrowth() G()
Fast Growth Rates for Time Series and Panel Data
fcumsum()
Fast (Grouped, Ordered) Cumulative Sum for Matrix-Like Objects
psacf() pspacf() psccf()
Auto- and Cross- Covariance and Correlation Function Estimation for Panel Series
psmat() plot(<psmat>)
Matrix / Array from Panel Series

## List Processing

Recursive list search, splitting, extraction/subsetting, apply, and generalized row-binding / unlisting to data frame.

list-processing
List Processing
is_unlistable()
Unlistable Lists
ldepth()
Determine the Depth / Level of Nesting of a List
atomic_elem() atomic_elem<-() list_elem() list_elem<-() reg_elem() irreg_elem() get_elem() has_elem()
Find and Extract / Subset List Elements
rsplit()
Fast (Recursive) Splitting
t_list()
Efficient List Transpose
rapply2d()
Recursively Apply a Function to a List of Data Objects
unlist2d()
Recursive Row-Binding / Unlisting in 2D - to Data Frame

## Summary Statistics

Fast (grouped, weighted, panel-decomposed) summary statistics and descriptive tools.

summary-statistics
Summary Statistics
qsu() as.data.frame(<qsu>) print(<qsu>)
Fast (Grouped, Weighted) Summary Statistics for Cross-Sectional and Panel Data
qtab() qtable()
Fast (Weighted) Cross Tabulation
descr() as.data.frame(<descr>) print(<descr>)
Detailed Statistical Description of Data Frame
pwcor() pwcov() pwnobs() print(<pwcor>) print(<pwcov>)
(Pairwise, Weighted) Correlations, Covariances and Observation Counts
varying()
Fast Check of Variation in Data

## Other Statistical

Fast euclidean distance computations, (weighted) sample quantiles, and range of vector.

fdist()
Fast and Flexible Distance Computations
fquantile() frange()
Fast (Weighted) Sample Quantiles and Range

## Recode and Replace Values

Efficiently recode and replace values in matrix-like objects.

recode_num() recode_char() replace_na() replace_inf() replace_outliers()
Recode and Replace Values in Matrix-Like Objects
pad()
Pad Matrix-Like Objects with a Value

## (Memory) Efficient Programming

Functions to make R programming more efficient.

anyv() allv() allNA() whichv() whichNA() %==% %!=% alloc() copyv() setv() setop() %+=% %-=% %*=% %/=% na_rm() na_locf() na_focb() na_omit() na_insert() missing_cases() vlengths() vtypes() vgcd() fnlevels() fnrow() fncol() fdim() seq_row() seq_col() vec() cinv()
Small Functions to Make R Programming More Efficient

## Small (Helper) Functions

Convenience functions to perform multiple-assignment, nonstandard concatenation, and deal with variable names, labels, other attributes, object checking, and help with metaprogramming.

.c() %=% massign() vlabels() vlabels<-() setLabels() vclasses() namlab() add_stub() rm_stub() all_identical() all_obj_equal() all_funs() setRownames() setColnames() setDimnames() unattrib() setAttrib() setattrib() copyAttrib() copyMostAttrib() is_categorical() is_date()
Small (Helper) Functions

## Data

Groningen Growth and Development Centre 10-Sector Database and World Bank World Development dataset.

GGDC10S
Groningen Growth and Development Centre 10-Sector Database
wlddev
World Development Dataset

## Package Options

Global options affecting package operation.

set_collapse() get_collapse()
collapse Package Options