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collapse (version 2.0.19)

Advanced and Fast Data Transformation

Description

A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R. It further includes fast functions for common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It is well integrated with base R classes, 'dplyr'/'tibble', 'data.table', 'sf', 'units', 'plm' (panel-series and data frames), and 'xts'/'zoo'.

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Version

Install

install.packages('collapse')

Monthly Downloads

40,634

Version

2.0.19

License

GPL (>= 2) | file LICENSE

Maintainer

Sebastian Krantz

Last Published

January 9th, 2025

Functions in collapse (2.0.19)

collapse-documentation

Collapse Documentation & Overview
across

Apply Functions Across Multiple Columns
fast-data-manipulation

Fast Data Manipulation
arithmetic

Fast Row/Column Arithmetic for Matrix-Like Objects
fast-grouping-ordering

Fast Grouping and Ordering
collapse-options

collapse Package Options
dapply

Data Apply
collapse-package

Advanced and Fast Data Transformation
fdist

Fast and Flexible Distance Computations
fdiff

Fast (Quasi-, Log-) Differences for Time Series and Panel Data
GRP

Fast Grouping / collapse Grouping Objects
BY

Split-Apply-Combine Computing
descr

Detailed Statistical Description of Data Frame
TRA

Transform Data by (Grouped) Replacing or Sweeping out Statistics
data-transformations

Data Transformations
efficient-programming

Small Functions to Make R Programming More Efficient
fast-statistical-functions

Fast (Grouped, Weighted) Statistical Functions for Matrix-Like Objects
GGDC10S

Groningen Growth and Development Centre 10-Sector Database
fbetween-fwithin

Fast Between (Averaging) and (Quasi-)Within (Centering) Transformations
fndistinct

Fast (Grouped) Distinct Value Count for Matrix-Like Objects
fnobs

Fast (Grouped) Observation Count for Matrix-Like Objects
collapse-renamed

Renamed Functions
colorder

Fast Reordering of Data Frame Columns
flag

Fast Lags and Leads for Time Series and Panel Data
flm

Fast (Weighted) Linear Model Fitting
get_elem

Find and Extract / Subset List Elements
fFtest

Fast (Weighted) F-test for Linear Models (with Factors)
fgrowth

Fast Growth Rates for Time Series and Panel Data
fhdbetween-fhdwithin

Higher-Dimensional Centering and Linear Prediction
funique

Fast Unique Elements / Rows
ftransform

Fast Transform and Compute Columns on a Data Frame
pad

Pad Matrix-Like Objects with a Value
pivot

Fast and Easy Data Reshaping
fdroplevels

Fast Removal of Unused Factor Levels
ffirst-flast

Fast (Grouped) First and Last Value for Matrix-Like Objects
fcount

Efficiently Count Observations by Group
rowbind

Row-Bind Lists / Data Frame-Like Objects
fcumsum

Fast (Grouped, Ordered) Cumulative Sum for Matrix-Like Objects
fquantile

Fast (Weighted) Sample Quantiles and Range
frename

Fast Renaming and Relabelling Objects
psacf

Auto- and Cross- Covariance and Correlation Function Estimation for Panel Series
fmatch

Fast Matching
fmean

Fast (Grouped, Weighted) Mean for Matrix-Like Objects
roworder

Fast Reordering of Data Frame Rows
fmin-fmax

Fast (Grouped) Maxima and Minima for Matrix-Like Objects
psmat

Matrix / Array from Panel Series
groupid

Generate Run-Length Type Group-Id
time-series-panel-series

Time Series and Panel Series
fmode

Fast (Grouped, Weighted) Statistical Mode for Matrix-Like Objects
indexing

Fast Indexed Time Series and Panels
timeid

Generate Integer-Id From Time/Date Sequences
group

Fast Hash-Based Grouping
fvar-fsd

Fast (Grouped, Weighted) Variance and Standard Deviation for Matrix-Like Objects
qsu

Fast (Grouped, Weighted) Summary Statistics for Cross-Sectional and Panel Data
fnth-fmedian

Fast (Grouped, Weighted) N'th Element/Quantile for Matrix-Like Objects
qtab

Fast (Weighted) Cross Tabulation
fprod

Fast (Grouped, Weighted) Product for Matrix-Like Objects
pwcor-pwcov-pwnobs

(Pairwise, Weighted) Correlations, Covariances and Observation Counts
ldepth

Determine the Depth / Level of Nesting of a List
list-processing

List Processing
qF-qG-finteraction

Fast Factor Generation, Interactions and Vector Grouping
rsplit

Fast (Recursive) Splitting
fselect-get_vars-add_vars

Fast Select, Replace or Add Data Frame Columns
fsum

Fast (Grouped, Weighted) Sum for Matrix-Like Objects
fsummarise

Fast Summarise
summary-statistics

Summary Statistics
t_list

Efficient List Transpose
quick-conversion

Quick Data Conversion
varying

Fast Check of Variation in Data
radixorder

Fast Radix-Based Ordering
unlist2d

Recursive Row-Binding / Unlisting in 2D - to Data Frame
fscale

Fast (Grouped, Weighted) Scaling and Centering of Matrix-like Objects
fsubset

Fast Subsetting Matrix-Like Objects
is_unlistable

Unlistable Lists
join

Fast Table Joins
rapply2d

Recursively Apply a Function to a List of Data Objects
recode-replace

Recode and Replace Values in Matrix-Like Objects
small-helpers

Small (Helper) Functions
wlddev

World Development Dataset
seqid

Generate Group-Id from Integer Sequences
collap

Advanced Data Aggregation