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collapse (version 2.0.11)

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', 'plm' (panel-series and data frames), and 'xts'/'zoo'.

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Install

install.packages('collapse')

Monthly Downloads

30,211

Version

2.0.11

License

GPL (>= 2) | file LICENSE

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Maintainer

Sebastian Krantz

Last Published

March 21st, 2024

Functions in collapse (2.0.11)

collapse-options

collapse Package Options
collapse-documentation

Collapse Documentation & Overview
collap

Advanced Data Aggregation
BY

Split-Apply-Combine Computing
collapse-package

Advanced and Fast Data Transformation
GGDC10S

Groningen Growth and Development Centre 10-Sector Database
GRP

Fast Grouping / collapse Grouping Objects
TRA

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

Fast Data Manipulation
dapply

Data Apply
data-transformations

Data Transformations
across

Apply Functions Across Multiple Columns
fast-grouping-ordering

Fast Grouping and Ordering
descr

Detailed Statistical Description of Data Frame
collapse-renamed

Renamed Functions
colorder

Fast Reordering of Data Frame Columns
get_elem

Find and Extract / Subset List Elements
fgrowth

Fast Growth Rates for Time Series and Panel Data
efficient-programming

Small Functions to Make R Programming More Efficient
arithmetic

Fast Row/Column Arithmetic for Matrix-Like Objects
fFtest

Fast (Weighted) F-test for Linear Models (with Factors)
fast-statistical-functions

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

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

Efficiently Count Observations by Group
fbetween-fwithin

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

Fast Removal of Unused Factor Levels
fcumsum

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

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

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

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

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

Fast (Grouped, Weighted) Product for Matrix-Like Objects
fhdbetween-fhdwithin

Higher-Dimensional Centering and Linear Prediction
fnobs

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

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

Fast and Flexible Distance Computations
flag

Fast Lags and Leads for Time Series and Panel Data
flm

Fast (Weighted) Linear Model Fitting
fsum

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

Fast Transform and Compute Columns on a Data Frame
funique

Fast Unique Elements / Rows
fquantile

Fast (Weighted) Sample Quantiles and Range
fsummarise

Fast Summarise
fscale

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

Fast Subsetting Matrix-Like Objects
fmatch

Fast Matching
psacf

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

Matrix / Array from Panel Series
fmean

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

Fast Renaming and Relabelling Objects
ldepth

Determine the Depth / Level of Nesting of a List
groupid

Generate Run-Length Type Group-Id
is_unlistable

Unlistable Lists
list-processing

List Processing
fvar-fsd

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

Fast Hash-Based Grouping
pad

Pad Matrix-Like Objects with a Value
pivot

Fast and Easy Data Reshaping
indexing

Fast Indexed Time Series and Panels
qsu

Fast (Grouped, Weighted) Summary Statistics for Cross-Sectional and Panel Data
quick-conversion

Quick Data Conversion
pwcor-pwcov-pwnobs

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

Fast Radix-Based Ordering
join

Fast Table Joins
rapply2d

Recursively Apply a Function to a List of Data Objects
unlist2d

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

Row-Bind Lists / Data Frame-Like Objects
varying

Fast Check of Variation in Data
qtab

Fast (Weighted) Cross Tabulation
time-series-panel-series

Time Series and Panel Series
roworder

Fast Reordering of Data Frame Rows
seqid

Generate Group-Id from Integer Sequences
summary-statistics

Summary Statistics
small-helpers

Small (Helper) Functions
recode-replace

Recode and Replace Values in Matrix-Like Objects
timeid

Generate Integer-Id From Time/Date Sequences
t_list

Efficient List Transpose
qF-qG-finteraction

Fast Factor Generation, Interactions and Vector Grouping
wlddev

World Development Dataset
rsplit

Fast (Recursive) Splitting
fselect-get_vars-add_vars

Fast Select, Replace or Add Data Frame Columns