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collapse (version 2.0.18)

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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Install

install.packages('collapse')

Monthly Downloads

38,990

Version

2.0.18

License

GPL (>= 2) | file LICENSE

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Maintainer

Sebastian Krantz

Last Published

November 23rd, 2024

Functions in collapse (2.0.18)

collap

Advanced Data Aggregation
GGDC10S

Groningen Growth and Development Centre 10-Sector Database
across

Apply Functions Across Multiple Columns
TRA

Transform Data by (Grouped) Replacing or Sweeping out Statistics
collapse-options

collapse Package Options
BY

Split-Apply-Combine Computing
collapse-documentation

Collapse Documentation & Overview
GRP

Fast Grouping / collapse Grouping Objects
arithmetic

Fast Row/Column Arithmetic for Matrix-Like Objects
collapse-package

Advanced and Fast Data Transformation
get_elem

Find and Extract / Subset List Elements
collapse-renamed

Renamed Functions
fast-data-manipulation

Fast Data Manipulation
descr

Detailed Statistical Description of Data Frame
efficient-programming

Small Functions to Make R Programming More Efficient
fFtest

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

Data Transformations
dapply

Data Apply
colorder

Fast Reordering of Data Frame Columns
fast-grouping-ordering

Fast Grouping and Ordering
fdiff

Fast (Quasi-, Log-) Differences for Time Series and Panel Data
fast-statistical-functions

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

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

Fast Removal of Unused Factor Levels
fhdbetween-fhdwithin

Higher-Dimensional Centering and Linear Prediction
fbetween-fwithin

Fast Between (Averaging) and (Quasi-)Within (Centering) Transformations
ffirst-flast

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

Efficiently Count Observations by Group
fdist

Fast and Flexible Distance Computations
fgrowth

Fast Growth Rates for Time Series and Panel Data
fmin-fmax

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

Fast (Weighted) Linear Model Fitting
fndistinct

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

Fast Lags and Leads for Time Series and Panel Data
fmode

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

Fast Matching
fprod

Fast (Grouped, Weighted) Product 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
fnobs

Fast (Grouped) Observation Count for Matrix-Like Objects
fquantile

Fast (Weighted) Sample Quantiles and Range
group

Fast Hash-Based Grouping
fvar-fsd

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

Fast Transform and Compute Columns on a Data Frame
fsummarise

Fast Summarise
fsum

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

Fast Subsetting Matrix-Like Objects
frename

Fast Renaming and Relabelling Objects
fscale

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

Fast Unique Elements / Rows
pad

Pad Matrix-Like Objects with a Value
is_unlistable

Unlistable Lists
psacf

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

Matrix / Array from Panel Series
list-processing

List Processing
ldepth

Determine the Depth / Level of Nesting of a List
join

Fast Table Joins
indexing

Fast Indexed Time Series and Panels
groupid

Generate Run-Length Type Group-Id
pivot

Fast and Easy Data Reshaping
radixorder

Fast Radix-Based Ordering
recode-replace

Recode and Replace Values in Matrix-Like Objects
rapply2d

Recursively Apply a Function to a List of Data Objects
quick-conversion

Quick Data Conversion
rowbind

Row-Bind Lists / Data Frame-Like Objects
pwcor-pwcov-pwnobs

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

Fast Reordering of Data Frame Rows
qF-qG-finteraction

Fast Factor Generation, Interactions and Vector Grouping
qtab

Fast (Weighted) Cross Tabulation
qsu

Fast (Grouped, Weighted) Summary Statistics for Cross-Sectional and Panel Data
summary-statistics

Summary Statistics
unlist2d

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

Fast Check of Variation in Data
time-series-panel-series

Time Series and Panel Series
timeid

Generate Integer-Id From Time/Date Sequences
t_list

Efficient List Transpose
fselect-get_vars-add_vars

Fast Select, Replace or Add Data Frame Columns
rsplit

Fast (Recursive) Splitting
seqid

Generate Group-Id from Integer Sequences
wlddev

World Development Dataset
small-helpers

Small (Helper) Functions