Science Score: 64.0%
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✓CITATION.cff file
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Repository
Advanced and Fast Data Transformation in R
Basic Info
- Host: GitHub
- Owner: SebKrantz
- License: other
- Language: C
- Default Branch: master
- Homepage: https://sebkrantz.github.io/collapse/
- Size: 113 MB
Statistics
- Stars: 685
- Watchers: 8
- Forks: 34
- Open Issues: 18
- Releases: 59
Topics
Metadata Files
README.md
collapse 
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collapse is a large C/C++-based package for data transformation and statistical computing in R. It aims to:
- Facilitate complex data transformation, exploration and computing tasks in R.
- Help make R code fast, flexible, parsimonious and programmer friendly.
Its novel class-agnostic architecture supports all basic R objects and their popular extensions, including units, integer64, xts/zoo, tibble, grouped_df, data.table, sf, pseries and pdata.frame.
Key Features:
Advanced statistical programming: A full set of fast statistical functions supporting grouped and weighted computations on vectors, matrices and data frames. Fast and programmable grouping, ordering, matching, deduplication, factor generation and interactions.
Fast data manipulation: Fast and flexible functions for data manipulation, data object conversions and memory efficient R programming.
Advanced aggregation: Fast and easy multi-type, weighted and parallelized data aggregation.
Advanced transformations: Fast row/column arithmetic, (grouped) sweeping out of statistics (by reference), (grouped, weighted) scaling and (higher-dimensional) centering and averaging.
Advanced time-computations: Fast and flexible indexed time series and panel data classes, lags/leads, differences and (compound) growth rates on (irregular) time series and panels, panel-autocorrelation functions and panel data to array conversions.
List processing: Recursive list search, filtering, splitting, apply and unlisting to data frame.
Advanced data exploration: Fast (grouped, weighted, multi-level) descriptive statistical tools.
collapse is written in C and C++, with algorithms much faster than base R's, has extremely low evaluation overheads, scales well (benchmarks: linux | windows), and excels on complex statistical tasks. <!--, such as weighted statistics, mode/counting/deduplication, joins, pivots, panel data. Optimized R code ensures minimal evaluation overheads. , but imports C/C++ functions from fixest, weights, RcppArmadillo, and RcppEigen for certain statistical tasks. -->
Installation
``` r
Install the current version on CRAN
install.packages("collapse")
Install a stable development version (Windows/Mac binaries) from R-universe
install.packages("collapse", repos = "https://fastverse.r-universe.dev")
Install a stable development version from GitHub (requires compilation)
remotes::install_github("SebKrantz/collapse")
Install previous versions from the CRAN Archive (requires compilation)
install.packages("https://cran.r-project.org/src/contrib/Archive/collapse/collapse_2.0.19.tar.gz", repos = NULL, type = "source")
Older stable versions: 1.9.6, 1.8.9, 1.7.6, 1.6.5, 1.5.3, 1.4.2, 1.3.2, 1.2.1
```
Documentation
collapse installs with a built-in structured documentation, implemented via a set of separate help pages. Calling help('collapse-documentation') brings up the the top-level documentation page, providing an overview of the entire package and links to all other documentation pages.
In addition there are several vignettes, among them one on Documentation and Resources.
Cheatsheet
<!-- height="227" 294 -->
Article on arXiv
An article on collapse is forthcoming at Journal of Statistical Software.
Presentation at useR 2022
Example Usage
This provides a simple set of examples introducing some important features of collapse. It should be easy to follow for readers familiar with R.
``` r library(collapse) data("iris") # iris dataset in base R v <- iris$Sepal.Length # Vector d <- num_vars(iris) # Saving numeric variables (could also be a matrix, statistical functions are S3 generic) g <- iris$Species # Grouping variable (could also be a list of variables)
Advanced Statistical Programming -----------------------------------------------------------------------------
Simple (column-wise) statistics...
fmedian(v) # Vector fsd(qM(d)) # Matrix (qM is a faster as.matrix) fmode(d) # data.frame fmean(qM(d), drop = FALSE) # Still a matrix fmax(d, drop = FALSE) # Still a data.frame
Fast grouped and/or weighted statistics
w <- abs(rnorm(fnrow(iris))) fmedian(d, w = w) # Simple weighted statistics fnth(d, 0.75, g) # Grouped statistics (grouped third quartile) fmedian(d, g, w) # Groupwise-weighted statistics fsd(v, g, w) # Similarly for vectors fmode(qM(d), g, w, ties = "max") # Or matrices (grouped and weighted maximum mode) ...
A fast set of data manipulation functions allows complex piped programming at high speeds
library(magrittr) # Pipe operators
iris %>% fgroupby(Species) %>% fndistinct # Grouped distinct value counts
iris %>% fgroupby(Species) %>% fmedian(w) # Weighted group medians
iris %>% addvars(w) %>% # Adding weight vector to dataset
fsubset(Sepal.Length < fmean(Sepal.Length), Species, Sepal.Width:w) %>% # Fast selecting and subsetting
fgroupby(Species) %>% # Grouping (efficiently creates a grouped tibble)
fvar(w) %>% # Frequency-weighted group-variance, default (keep.w = TRUE)
roworder(sum.w) # also saves group weights in a column called 'sum.w'
Can also use dplyr (but dplyr manipulation verbs are a lot slower)
library(dplyr) iris %>% addvars(w) %>% filter(Sepal.Length < fmean(Sepal.Length)) %>% select(Species, Sepal.Width:w) %>% groupby(Species) %>% fvar(w) %>% arrange(sum.w)
Fast Data Manipulation ---------------------------------------------------------------------------------------
head(GGDC10S)
Pivot Wider: Only SUM (total)
SUM <- GGDC10S |> pivot(c("Country", "Year"), "SUM", "Variable", how = "wider") head(SUM)
Joining with data from wlddev
wlddev |> join(SUM, on = c("iso3c" = "Country", "year" = "Year"), how = "inner")
Recast pivoting + supplying new labels for generated columns
pivot(GGDC10S, values = 6:16, names = list("Variable", "Sectorcode"), labels = list(to = "Sector", new = c(Sectorcode = "GGDC10S Sector Code", Sector = "Long Sector Description", VA = "Value Added", EMP = "Employment")), how = "recast", na.rm = TRUE)
Advanced Aggregation -----------------------------------------------------------------------------------------
collap(iris, Sepal.Length + Sepal.Width ~ Species, fmean) # Simple aggregation using the mean.. collap(iris, ~ Species, list(fmean, fmedian, fmode)) # Multiple functions applied to each column add_vars(iris) <- w # Adding weights, return in long format.. collap(iris, ~ Species, list(fmean, fmedian, fmode), w = ~ w, return = "long")
Generate some additional logical data
settransform(iris, AWMSL = Sepal.Length > fmedian(Sepal.Length, w = w), AWMSW = Sepal.Width > fmedian(Sepal.Width, w = w))
Multi-type data aggregation: catFUN applies to all categorical columns (here AMWSW)
collap(iris, ~ Species + AWMSL, list(fmean, fmedian, fmode), catFUN = fmode, w = ~ w, return = "long")
Custom aggregation gives the greatest possible flexibility: directly mapping functions to columns
collap(iris, ~ Species + AWMSL, custom = list(fmean = 2:3, fsd = 3:4, fmode = "AWMSL"), w = ~ w, wFUN = list(fsum, fmin, fmax), # Here also aggregating the weight vector with 3 different functions keep.col.order = FALSE) # Column order not maintained -> grouping and weight variables first
Can also use grouped tibble: weighted median for numeric, weighted mode for categorical columns
iris %>% fgroup_by(Species, AWMSL) %>% collapg(fmedian, fmode, w = w)
Advanced Transformations -------------------------------------------------------------------------------------
All Fast Statistical Functions have a TRA argument, supporting 10 different replacing and sweeping operations
fmode(d, TRA = "replace") # Replacing values with the mode fsd(v, TRA = "/") # dividing by the overall standard deviation (scaling) fsum(d, TRA = "%") # Computing percentages fsd(d, g, TRA = "/") # Grouped scaling fmin(d, g, TRA = "-") # Setting the minimum value in each species to 0 ffirst(d, g, TRA = "%%") # Taking modulus of first value in each species fmedian(d, g, w, "-") # Groupwise centering by the weighted median fnth(d, 0.95, g, w, "%") # Expressing data in percentages of the weighted species-wise 95th percentile fmode(d, g, w, "replace", # Replacing data by the species-wise weighted minimum-mode ties = "min")
TRA() can also be called directly to replace or sweep with a matching set of computed statistics
TRA(v, sd(v), "/") # Same as fsd(v, TRA = "/") TRA(d, fmedian(d, g, w), "-", g) # Same as fmedian(d, g, w, "-") TRA(d, BY(d, g, quantile, 0.95), "%", g) # Same as fnth(d, 0.95, g, TRA = "%") (apart from quantile algorithm)
For common uses, there are some faster and more advanced functions
fbetween(d, g) # Grouped averaging [same as fmean(d, g, TRA = "replace") but faster] fwithin(d, g) # Grouped centering [same as fmean(d, g, TRA = "-") but faster] fwithin(d, g, w) # Grouped and weighted centering [same as fmean(d, g, w, "-")] fwithin(d, g, w, theta = 0.76) # Quasi-centering i.e. d - theta*fbetween(d, g, w) fwithin(d, g, w, mean = "overall.mean") # Preserving the overall weighted mean of the data
fscale(d) # Scaling and centering (default mean = 0, sd = 1) fscale(d, mean = 5, sd = 3) # Custom scaling and centering fscale(d, mean = FALSE, sd = 3) # Mean preserving scaling fscale(d, g, w) # Grouped and weighted scaling and centering fscale(d, g, w, mean = "overall.mean", # Setting group means to overall weighted mean, sd = "within.sd") # and group sd's to fsd(fwithin(d, g, w), w = w)
getvars(iris, 1:2) # Use getvars for fast selecting data.frame columns, gv is shortcut fhdbetween(gv(iris, 1:2), gv(iris, 3:5)) # Linear prediction with factors and continuous covariates fhdwithin(gv(iris, 1:2), gv(iris, 3:5)) # Linear partialling out factors and continuous covariates
This again opens up new possibilities for data manipulation...
iris %>%
ftransform(ASWMSL = Sepal.Length > fmedian(Sepal.Length, Species, w, "replace")) %>%
fgroup_by(ASWMSL) %>% collapg(w = w, keep.col.order = FALSE)
iris %>% fgroupby(Species) %>% numvars %>% fwithin(w) # Weighted demeaning
Time Series and Panel Series ---------------------------------------------------------------------------------
flag(AirPassengers, -1:3) # A sequence of lags and leads
EuStockMarkets %>% # A sequence of first and second seasonal differences
fdiff(0:1 * frequency(.), 1:2)
fdiff(EuStockMarkets, rho = 0.95) # Quasi-difference [x - rhoflag(x)]
fdiff(EuStockMarkets, log = TRUE) # Log-difference [log(x/flag(x))]
EuStockMarkets %>% fgrowth(c(1, frequency(.))) # Ordinary and seasonal growth rate
EuStockMarkets %>% fgrowth(logdiff = TRUE) # Log-difference growth rate [log(x/flag(x))100]
Creating panel data
pdata <- EuStockMarkets %>% list(A = ., B = .) %>%
unlist2d(idcols = "Id", row.names = "Time")
L(pdata, -1:3, ~Id, ~Time) # Sequence of fully identified panel-lags (L is operator for flag) pdata %>% fgroup_by(Id) %>% flag(-1:3, Time) # Same thing..
collapse also supports indexed series and data frames (and plm panel data classes)
pdata <- findex_by(pdata, Id, Time)
L(pdata, -1:3) # Same as above, ...
psacf(pdata) # Multivariate panel-ACF
psmat(pdata) %>% plot # 3D-array of time series from panel data + plotting
HDW(pdata) # This projects out id and time fixed effects.. (HDW is operator for fhdwithin) W(pdata, effect = "Id") # Only Id effects.. (W is operator for fwithin)
List Processing ----------------------------------------------------------------------------------------------
Some nested list of heterogenous data objects..
l <- list(a = qM(mtcars[1:8]), # Matrix b = list(c = mtcars[4:11], # data.frame d = list(e = mtcars[2:10], f = fsd(mtcars)))) # Vector
ldepth(l) # List has 4 levels of nesting (considering that mtcars is a data.frame) isunlistable(l) # Can be unlisted haselem(l, "f") # Contains an element by the name of "f" has_elem(l, is.matrix) # Contains a matrix
getelem(l, "f") # Recursive extraction of elements..
getelem(l, c("c","f"))
get_elem(l, c("c","f"), keep.tree = TRUE)
unlist2d(l, row.names = TRUE) # Intelligent recursive row-binding to data.frame
rapply2d(l, fmean) %>% unlist2d # Taking the mean of all elements and repeating
Application: extracting and tidying results from (potentially nested) lists of model objects
list(mod1 = lm(mpg ~ carb, mtcars), mod2 = lm(mpg ~ carb + hp, mtcars)) %>% lapply(summary) %>% get_elem("coef", regex = TRUE) %>% # Regular expression search and extraction unlist2d(idcols = "Model", row.names = "Predictor")
Summary Statistics -------------------------------------------------------------------------------------------
irisNA <- na_insert(iris, prop = 0.15) # Randmonly set 15% missing fnobs(irisNA) # Observation count pwnobs(irisNA) # Pairwise observation count fnobs(irisNA, g) # Grouped observation count fndistinct(irisNA) # Same with distinct values... (default na.rm = TRUE skips NA's) fndistinct(irisNA, g)
descr(iris) # Detailed statistical description of data
varying(iris, ~ Species) # Show which variables vary within Species varying(pdata) # Which are time-varying ? qsu(iris, w = ~ w) # Fast (one-pass) summary (with weights) qsu(iris, ~ Species, w = ~ w, higher = TRUE) # Grouped summary + higher moments qsu(pdata, higher = TRUE) # Panel-data summary (between and within entities) pwcor(num_vars(irisNA), N = TRUE, P = TRUE) # Pairwise correlations with p-value and observations pwcor(W(pdata, keep.ids = FALSE), P = TRUE) # Within-correlations
```
Evaluated and more extensive sets of examples are provided on the package page (also accessible from R by calling example('collapse-package')), and further in the vignettes and documentation.
Citation
If collapse was instrumental for your research project, please consider citing it using citation("collapse").
Owner
- Name: Sebastian Krantz
- Login: SebKrantz
- Kind: user
- Company: Kiel Institute for the World Economy
- Website: sebastiankrantz.com
- Repositories: 31
- Profile: https://github.com/SebKrantz
Economist/data scientist/programmer interested in econometrics, time series, geospatial analysis, machine learning, and high-performance computing.
Citation (CITATION.cff)
# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
cff-version: 1.2.0
message: 'To cite package "collapse" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'collapse: Advanced and Fast Data Transformation'
version: 2.1.3.9000
identifiers:
- type: doi
value: 10.32614/CRAN.package.collapse
abstract: A large 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, fast functions for data
transformation and 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 seamlessly supports base R objects/classes
as well as 'units', 'integer64', 'xts'/ 'zoo', 'tibble', 'grouped_df', 'data.table',
'sf', and 'pseries'/'pdata.frame'.
authors:
- family-names: Krantz
given-names: Sebastian
email: sebastian.krantz@graduateinstitute.ch
orcid: https://orcid.org/0000-0001-6212-5229
preferred-citation:
type: generic
title: 'collapse: Advanced and Fast Statistical Computing and Data Transformation
in R'
authors:
- family-names: Krantz
given-names: Sebastian
email: sebastian.krantz@graduateinstitute.ch
orcid: https://orcid.org/0000-0001-6212-5229
year: '2024'
url: https://arxiv.org/abs/2403.05038
repository: https://CRAN.R-project.org/package=collapse
repository-code: https://github.com/SebKrantz/collapse
url: https://sebkrantz.github.io/collapse/
date-released: '2025-08-19'
contact:
- family-names: Krantz
given-names: Sebastian
email: sebastian.krantz@graduateinstitute.ch
orcid: https://orcid.org/0000-0001-6212-5229
keywords:
- cran
- data-aggregation
- data-analysis
- data-manipulation
- data-processing
- data-science
- data-transformation
- econometrics
- high-performance
- panel-data
- r
- rstats
- scientific-computing
- statistics
- time-series
- weighted
- weights
references:
- type: manual
title: 'collapse: Advanced and Fast Data Transformation in R'
authors:
- family-names: Krantz
given-names: Sebastian
year: '2025'
notes: R package version 2.1.3.9000
doi: 10.5281/zenodo.8433090
url: https://sebkrantz.github.io/collapse/
- type: software
title: 'R: A Language and Environment for Statistical Computing'
notes: Depends
url: https://www.R-project.org/
authors:
- name: R Core Team
institution:
name: R Foundation for Statistical Computing
address: Vienna, Austria
year: '2025'
version: '>= 3.5.0'
- type: software
title: Rcpp
abstract: 'Rcpp: Seamless R and C++ Integration'
notes: Imports
url: https://www.rcpp.org
repository: https://CRAN.R-project.org/package=Rcpp
authors:
- family-names: Eddelbuettel
given-names: Dirk
email: edd@debian.org
orcid: https://orcid.org/0000-0001-6419-907X
- family-names: Francois
given-names: Romain
orcid: https://orcid.org/0000-0002-2444-4226
- family-names: Allaire
given-names: JJ
orcid: https://orcid.org/0000-0003-0174-9868
- family-names: Ushey
given-names: Kevin
orcid: https://orcid.org/0000-0003-2880-7407
- family-names: Kou
given-names: Qiang
orcid: https://orcid.org/0000-0001-6786-5453
- family-names: Russell
given-names: Nathan
- family-names: Ucar
given-names: Iñaki
orcid: https://orcid.org/0000-0001-6403-5550
- family-names: Bates
given-names: Doug
orcid: https://orcid.org/0000-0001-8316-9503
- family-names: Chambers
given-names: John
year: '2025'
doi: 10.32614/CRAN.package.Rcpp
version: '>= 1.0.1'
- type: software
title: Rcpp
abstract: 'Rcpp: Seamless R and C++ Integration'
notes: Imports
url: https://www.rcpp.org
repository: https://CRAN.R-project.org/package=Rcpp
authors:
- family-names: Eddelbuettel
given-names: Dirk
email: edd@debian.org
orcid: https://orcid.org/0000-0001-6419-907X
- family-names: Francois
given-names: Romain
orcid: https://orcid.org/0000-0002-2444-4226
- family-names: Allaire
given-names: JJ
orcid: https://orcid.org/0000-0003-0174-9868
- family-names: Ushey
given-names: Kevin
orcid: https://orcid.org/0000-0003-2880-7407
- family-names: Kou
given-names: Qiang
orcid: https://orcid.org/0000-0001-6786-5453
- family-names: Russell
given-names: Nathan
- family-names: Ucar
given-names: Iñaki
orcid: https://orcid.org/0000-0001-6403-5550
- family-names: Bates
given-names: Doug
orcid: https://orcid.org/0000-0001-8316-9503
- family-names: Chambers
given-names: John
year: '2025'
doi: 10.32614/CRAN.package.Rcpp
- type: software
title: fastverse
abstract: 'fastverse: A Suite of High-Performance Packages for Statistics and Data
Manipulation'
notes: Suggests
url: https://fastverse.github.io/fastverse/
repository: https://CRAN.R-project.org/package=fastverse
authors:
- family-names: Krantz
given-names: Sebastian
email: sebastian.krantz@graduateinstitute.ch
year: '2025'
doi: 10.32614/CRAN.package.fastverse
- type: software
title: data.table
abstract: 'data.table: Extension of `data.frame`'
notes: Suggests
url: https://r-datatable.com
repository: https://CRAN.R-project.org/package=data.table
authors:
- family-names: Barrett
given-names: Tyson
email: t.barrett88@gmail.com
orcid: https://orcid.org/0000-0002-2137-1391
- family-names: Dowle
given-names: Matt
email: mattjdowle@gmail.com
- family-names: Srinivasan
given-names: Arun
email: asrini@pm.me
- family-names: Gorecki
given-names: Jan
- family-names: Chirico
given-names: Michael
orcid: https://orcid.org/0000-0003-0787-087X
- family-names: Hocking
given-names: Toby
orcid: https://orcid.org/0000-0002-3146-0865
- family-names: Schwendinger
given-names: Benjamin
orcid: https://orcid.org/0000-0003-3315-8114
- family-names: Krylov
given-names: Ivan
email: ikrylov@disroot.org
orcid: https://orcid.org/0000-0002-0172-3812
year: '2025'
doi: 10.32614/CRAN.package.data.table
- type: software
title: magrittr
abstract: 'magrittr: A Forward-Pipe Operator for R'
notes: Suggests
url: https://magrittr.tidyverse.org
repository: https://CRAN.R-project.org/package=magrittr
authors:
- family-names: Bache
given-names: Stefan Milton
email: stefan@stefanbache.dk
- family-names: Wickham
given-names: Hadley
email: hadley@rstudio.com
year: '2025'
doi: 10.32614/CRAN.package.magrittr
- type: software
title: kit
abstract: 'kit: Data Manipulation Functions Implemented in C'
notes: Suggests
url: https://github.com/2005m/kit
repository: https://CRAN.R-project.org/package=kit
authors:
- family-names: Jacob
given-names: Morgan
email: morgan.emailbox@gmail.com
year: '2025'
doi: 10.32614/CRAN.package.kit
- type: software
title: xts
abstract: 'xts: eXtensible Time Series'
notes: Suggests
url: https://joshuaulrich.github.io/xts/
repository: https://CRAN.R-project.org/package=xts
authors:
- family-names: Ryan
given-names: Jeffrey A.
- family-names: Ulrich
given-names: Joshua M.
email: josh.m.ulrich@gmail.com
year: '2025'
doi: 10.32614/CRAN.package.xts
- type: software
title: zoo
abstract: 'zoo: S3 Infrastructure for Regular and Irregular Time Series (Z''s Ordered
Observations)'
notes: Suggests
url: https://zoo.R-Forge.R-project.org/
repository: https://CRAN.R-project.org/package=zoo
authors:
- family-names: Zeileis
given-names: Achim
email: Achim.Zeileis@R-project.org
orcid: https://orcid.org/0000-0003-0918-3766
- family-names: Grothendieck
given-names: Gabor
email: ggrothendieck@gmail.com
- family-names: Ryan
given-names: Jeffrey A.
email: jeff.a.ryan@gmail.com
year: '2025'
doi: 10.32614/CRAN.package.zoo
- type: software
title: plm
abstract: 'plm: Linear Models for Panel Data'
notes: Suggests
url: https://cran.r-project.org/package=plm
repository: https://CRAN.R-project.org/package=plm
authors:
- family-names: Croissant
given-names: Yves
email: yves.croissant@univ-reunion.fr
- family-names: Millo
given-names: Giovanni
email: giovanni.millo@deams.units.it
- family-names: Tappe
given-names: Kevin
email: kevin.tappe@bwi.uni-stuttgart.de
year: '2025'
doi: 10.32614/CRAN.package.plm
- type: software
title: fixest
abstract: 'fixest: Fast Fixed-Effects Estimations'
notes: Suggests
url: https://lrberge.github.io/fixest/
repository: https://CRAN.R-project.org/package=fixest
authors:
- family-names: Berge
given-names: Laurent
email: laurent.berge@u-bordeaux.fr
year: '2025'
doi: 10.32614/CRAN.package.fixest
- type: software
title: vars
abstract: 'vars: VAR Modelling'
notes: Suggests
url: https://www.pfaffikus.de
repository: https://CRAN.R-project.org/package=vars
authors:
- family-names: Pfaff
given-names: Bernhard
email: bernhard@pfaffikus.de
year: '2025'
doi: 10.32614/CRAN.package.vars
- type: software
title: RcppArmadillo
abstract: 'RcppArmadillo: ''Rcpp'' Integration for the ''Armadillo'' Templated Linear
Algebra Library'
notes: Suggests
url: https://dirk.eddelbuettel.com/code/rcpp.armadillo.html
repository: https://CRAN.R-project.org/package=RcppArmadillo
authors:
- family-names: Eddelbuettel
given-names: Dirk
email: edd@debian.org
orcid: https://orcid.org/0000-0001-6419-907X
- family-names: Francois
given-names: Romain
orcid: https://orcid.org/0000-0002-2444-4226
- family-names: Bates
given-names: Doug
orcid: https://orcid.org/0000-0001-8316-9503
- family-names: Ni
given-names: Binxiang
- family-names: Sanderson
given-names: Conrad
orcid: https://orcid.org/0000-0002-0049-4501
year: '2025'
doi: 10.32614/CRAN.package.RcppArmadillo
- type: software
title: RcppEigen
abstract: 'RcppEigen: ''Rcpp'' Integration for the ''Eigen'' Templated Linear Algebra
Library'
notes: Suggests
url: https://dirk.eddelbuettel.com/code/rcpp.eigen.html
repository: https://CRAN.R-project.org/package=RcppEigen
authors:
- family-names: Bates
given-names: Doug
orcid: https://orcid.org/0000-0001-8316-9503
- family-names: Eddelbuettel
given-names: Dirk
email: edd@debian.org
orcid: https://orcid.org/0000-0001-6419-907X
- family-names: Francois
given-names: Romain
orcid: https://orcid.org/0000-0002-2444-4226
- family-names: Qiu
given-names: Yixuan
orcid: https://orcid.org/0000-0003-0109-6692
year: '2025'
doi: 10.32614/CRAN.package.RcppEigen
- type: software
title: tibble
abstract: 'tibble: Simple Data Frames'
notes: Suggests
url: https://tibble.tidyverse.org/
repository: https://CRAN.R-project.org/package=tibble
authors:
- family-names: Müller
given-names: Kirill
email: kirill@cynkra.com
orcid: https://orcid.org/0000-0002-1416-3412
- family-names: Wickham
given-names: Hadley
email: hadley@rstudio.com
year: '2025'
doi: 10.32614/CRAN.package.tibble
- type: software
title: dplyr
abstract: 'dplyr: A Grammar of Data Manipulation'
notes: Suggests
url: https://dplyr.tidyverse.org
repository: https://CRAN.R-project.org/package=dplyr
authors:
- family-names: Wickham
given-names: Hadley
email: hadley@posit.co
orcid: https://orcid.org/0000-0003-4757-117X
- family-names: François
given-names: Romain
orcid: https://orcid.org/0000-0002-2444-4226
- family-names: Henry
given-names: Lionel
- family-names: Müller
given-names: Kirill
orcid: https://orcid.org/0000-0002-1416-3412
- family-names: Vaughan
given-names: Davis
email: davis@posit.co
orcid: https://orcid.org/0000-0003-4777-038X
year: '2025'
doi: 10.32614/CRAN.package.dplyr
- type: software
title: ggplot2
abstract: 'ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics'
notes: Suggests
url: https://ggplot2.tidyverse.org
repository: https://CRAN.R-project.org/package=ggplot2
authors:
- family-names: Wickham
given-names: Hadley
email: hadley@posit.co
orcid: https://orcid.org/0000-0003-4757-117X
- family-names: Chang
given-names: Winston
orcid: https://orcid.org/0000-0002-1576-2126
- family-names: Henry
given-names: Lionel
- family-names: Pedersen
given-names: Thomas Lin
email: thomas.pedersen@posit.co
orcid: https://orcid.org/0000-0002-5147-4711
- family-names: Takahashi
given-names: Kohske
- family-names: Wilke
given-names: Claus
orcid: https://orcid.org/0000-0002-7470-9261
- family-names: Woo
given-names: Kara
orcid: https://orcid.org/0000-0002-5125-4188
- family-names: Yutani
given-names: Hiroaki
orcid: https://orcid.org/0000-0002-3385-7233
- family-names: Dunnington
given-names: Dewey
orcid: https://orcid.org/0000-0002-9415-4582
- family-names: Brand
given-names: Teun
name-particle: van den
orcid: https://orcid.org/0000-0002-9335-7468
year: '2025'
doi: 10.32614/CRAN.package.ggplot2
- type: software
title: scales
abstract: 'scales: Scale Functions for Visualization'
notes: Suggests
url: https://scales.r-lib.org
repository: https://CRAN.R-project.org/package=scales
authors:
- family-names: Wickham
given-names: Hadley
email: hadley@posit.co
- family-names: Pedersen
given-names: Thomas Lin
email: thomas.pedersen@posit.co
orcid: https://orcid.org/0000-0002-5147-4711
- family-names: Seidel
given-names: Dana
year: '2025'
doi: 10.32614/CRAN.package.scales
- type: software
title: microbenchmark
abstract: 'microbenchmark: Accurate Timing Functions'
notes: Suggests
url: https://github.com/joshuaulrich/microbenchmark/
repository: https://CRAN.R-project.org/package=microbenchmark
authors:
- family-names: Mersmann
given-names: Olaf
year: '2025'
doi: 10.32614/CRAN.package.microbenchmark
- type: software
title: testthat
abstract: 'testthat: Unit Testing for R'
notes: Suggests
url: https://testthat.r-lib.org
repository: https://CRAN.R-project.org/package=testthat
authors:
- family-names: Wickham
given-names: Hadley
email: hadley@posit.co
year: '2025'
doi: 10.32614/CRAN.package.testthat
- type: software
title: covr
abstract: 'covr: Test Coverage for Packages'
notes: Suggests
url: https://covr.r-lib.org
repository: https://CRAN.R-project.org/package=covr
authors:
- family-names: Hester
given-names: Jim
email: james.f.hester@gmail.com
year: '2025'
doi: 10.32614/CRAN.package.covr
- type: software
title: knitr
abstract: 'knitr: A General-Purpose Package for Dynamic Report Generation in R'
notes: Suggests
url: https://yihui.org/knitr/
repository: https://CRAN.R-project.org/package=knitr
authors:
- family-names: Xie
given-names: Yihui
email: xie@yihui.name
orcid: https://orcid.org/0000-0003-0645-5666
year: '2025'
doi: 10.32614/CRAN.package.knitr
- type: software
title: rmarkdown
abstract: 'rmarkdown: Dynamic Documents for R'
notes: Suggests
url: https://pkgs.rstudio.com/rmarkdown/
repository: https://CRAN.R-project.org/package=rmarkdown
authors:
- family-names: Allaire
given-names: JJ
email: jj@posit.co
- family-names: Xie
given-names: Yihui
email: xie@yihui.name
orcid: https://orcid.org/0000-0003-0645-5666
- family-names: Dervieux
given-names: Christophe
email: cderv@posit.co
orcid: https://orcid.org/0000-0003-4474-2498
- family-names: McPherson
given-names: Jonathan
email: jonathan@posit.co
- family-names: Luraschi
given-names: Javier
- family-names: Ushey
given-names: Kevin
email: kevin@posit.co
- family-names: Atkins
given-names: Aron
email: aron@posit.co
- family-names: Wickham
given-names: Hadley
email: hadley@posit.co
- family-names: Cheng
given-names: Joe
email: joe@posit.co
- family-names: Chang
given-names: Winston
email: winston@posit.co
- family-names: Iannone
given-names: Richard
email: rich@posit.co
orcid: https://orcid.org/0000-0003-3925-190X
year: '2025'
doi: 10.32614/CRAN.package.rmarkdown
- type: software
title: withr
abstract: 'withr: Run Code ''With'' Temporarily Modified Global State'
notes: Suggests
url: https://withr.r-lib.org
repository: https://CRAN.R-project.org/package=withr
authors:
- family-names: Hester
given-names: Jim
- family-names: Henry
given-names: Lionel
email: lionel@posit.co
- family-names: Müller
given-names: Kirill
email: krlmlr+r@mailbox.org
- family-names: Ushey
given-names: Kevin
email: kevinushey@gmail.com
- family-names: Wickham
given-names: Hadley
email: hadley@posit.co
- family-names: Chang
given-names: Winston
year: '2025'
doi: 10.32614/CRAN.package.withr
- type: software
title: bit64
abstract: 'bit64: A S3 Class for Vectors of 64bit Integers'
notes: Suggests
url: https://github.com/r-lib/bit64
repository: https://CRAN.R-project.org/package=bit64
authors:
- family-names: Chirico
given-names: Michael
email: michaelchirico4@gmail.com
- family-names: Oehlschlägel
given-names: Jens
year: '2025'
doi: 10.32614/CRAN.package.bit64
GitHub Events
Total
- Create event: 12
- Release event: 11
- Issues event: 74
- Watch event: 33
- Delete event: 5
- Issue comment event: 147
- Push event: 379
- Pull request review comment event: 1
- Pull request review event: 1
- Pull request event: 171
- Fork event: 2
Last Year
- Create event: 12
- Release event: 11
- Issues event: 74
- Watch event: 33
- Delete event: 5
- Issue comment event: 147
- Push event: 379
- Pull request review comment event: 1
- Pull request review event: 1
- Pull request event: 171
- Fork event: 2
Committers
Last synced: 11 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Sebastian Krantz | s****z@g****h | 2,708 |
| github-actions[bot] | 4****] | 38 |
| Michael Chirico | c****m@g****m | 11 |
| helix123 | k****e@g****e | 9 |
| Alina Cherkas | 5****s | 7 |
| Joris Meys | J****s@U****e | 5 |
| Ivan K | k****t@g****m | 3 |
| Arthur Gailes | a****1@g****m | 3 |
| Florian Kohrt | f****t@a****o | 2 |
| Tomas Kalibera | t****a@g****m | 1 |
| Romain Francois | r****n@r****m | 1 |
| Ralf Herold | r****d@g****t | 1 |
| Dirk Eddelbuettel | e****d@d****g | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 171
- Total pull requests: 332
- Average time to close issues: 25 days
- Average time to close pull requests: about 2 hours
- Total issue authors: 81
- Total pull request authors: 7
- Average comments per issue: 3.13
- Average comments per pull request: 0.13
- Merged pull requests: 318
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 47
- Pull requests: 153
- Average time to close issues: 12 days
- Average time to close pull requests: about 1 hour
- Issue authors: 28
- Pull request authors: 4
- Average comments per issue: 2.55
- Average comments per pull request: 0.17
- Merged pull requests: 143
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- NicChr (14)
- Steviey (8)
- D3SL (7)
- SebKrantz (7)
- mayer79 (7)
- tony-aw (6)
- ummel (6)
- orgadish (4)
- alinacherkas (4)
- grantmcdermott (4)
- arthurgailes (4)
- statzhero (3)
- Henrik-P (3)
- zander-prinsloo (3)
- kylebutts (3)
Pull Request Authors
- SebKrantz (393)
- MichaelChirico (14)
- alinacherkas (10)
- arthurgailes (6)
- fkohrt (2)
- aitap (2)
- kalibera (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 4
-
Total downloads:
- cran 28,709 last-month
- Total docker downloads: 42,548
-
Total dependent packages: 27
(may contain duplicates) -
Total dependent repositories: 38
(may contain duplicates) - Total versions: 169
- Total maintainers: 1
proxy.golang.org: github.com/sebkrantz/collapse
- Documentation: https://pkg.go.dev/github.com/sebkrantz/collapse#section-documentation
- License: other
-
Latest release: v2.1.2+incompatible
published 9 months ago
Rankings
proxy.golang.org: github.com/SebKrantz/collapse
- Documentation: https://pkg.go.dev/github.com/SebKrantz/collapse#section-documentation
- License: other
-
Latest release: v2.1.2+incompatible
published 9 months ago
Rankings
cran.r-project.org: collapse
Advanced and Fast Data Transformation
- Homepage: https://sebkrantz.github.io/collapse/
- Documentation: http://cran.r-project.org/web/packages/collapse/collapse.pdf
- License: GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE]
-
Latest release: 2.1.2
published 9 months ago
Rankings
Maintainers (1)
conda-forge.org: r-collapse
- Homepage: https://sebkrantz.github.io/collapse/
- License: GPL-2.0-or-later
-
Latest release: 1.8.9
published over 3 years ago
Rankings
Dependencies
- R >= 3.3.0 depends
- Rcpp >= 1.0.1 imports
- RcppArmadillo * suggests
- RcppEigen * suggests
- covr * suggests
- data.table * suggests
- dplyr * suggests
- fastverse * suggests
- fixest * suggests
- ggplot2 * suggests
- kit * suggests
- knitr * suggests
- magrittr * suggests
- microbenchmark * suggests
- plm * suggests
- rmarkdown * suggests
- scales * suggests
- testthat * suggests
- tibble * suggests
- vars * suggests
- xts * suggests
- zoo * suggests
- actions/cache v2 composite
- actions/checkout v2 composite
- actions/upload-artifact main composite
- r-lib/actions/setup-pandoc v1 composite
- r-lib/actions/setup-r v1 composite
- actions/checkout v3 composite
- actions/upload-artifact v3 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite