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rio: A Swiss-Army Knife for Data I/O

Streamlined data import and export by making assumptions that the user is probably willing to make: 'import()' and 'export()' determine the data format from the file extension, reasonable defaults are used for data import and export, web-based import is natively supported (including from SSL/HTTPS), compressed files can be read directly, and fast import packages are used where appropriate. An additional convenience function, 'convert()', provides a simple method for converting between file types.

Version:1.2.4
Depends:R (≥ 4.0)
Imports:tools, stats, utils,foreign,haven (≥ 1.1.2),curl (≥ 0.6),data.table (≥ 1.11.2),readxl (≥ 0.1.1),tibble,writexl,lifecycle,R.utils,readr
Suggests:datasets,bit64,testthat,knitr,magrittr,clipr,fst,hexView,jsonlite,pzfx,readODS (≥ 2.1.0),rmarkdown,rmatio,xml2 (≥ 1.2.0),yaml,qs,arrow (≥ 0.17.0),stringi,withr,nanoparquet,qs2 (≥ 0.1.5)
Published:2025-09-26
DOI:10.32614/CRAN.package.rio
Author:Jason Becker [aut], Chung-hong ChanORCID iD [aut, cre], David SchochORCID iD [aut], Geoffrey CH Chan [ctb], Thomas J. LeeperORCID iD [aut], Christopher Gandrud [ctb], Andrew MacDonald [ctb], Ista Zahn [ctb], Stanislaus Stadlmann [ctb], Ruaridh Williamson [ctb], Patrick Kennedy [ctb], Ryan Price [ctb], Trevor L Davis [ctb], Nathan Day [ctb], Bill DenneyORCID iD [ctb], Alex BokovORCID iD [ctb], Hugo GrusonORCID iD [ctb], Jacob Mears [ctb]
Maintainer:Chung-hong Chan <chainsawtiney at gmail.com>
BugReports:https://github.com/gesistsa/rio/issues
License:GPL-2
URL:https://gesistsa.github.io/rio/,https://github.com/gesistsa/rio
NeedsCompilation:no
Citation:rio citation info
Materials:README,NEWS
In views:WebTechnologies
CRAN checks:rio results

Documentation:

Reference manual:rio.html ,rio.pdf
Vignettes:Extending rio (source,R code)
Working with labelled data (source,R code)
Package Philosophy (source)
Remapping and Ellipsis (source,R code)
Introduction to 'rio' (source,R code)

Downloads:

Package source: rio_1.2.4.tar.gz
Windows binaries: r-devel:rio_1.2.4.zip, r-release:rio_1.2.4.zip, r-oldrel:rio_1.2.4.zip
macOS binaries: r-release (arm64):rio_1.2.4.tgz, r-oldrel (arm64):rio_1.2.4.tgz, r-release (x86_64):rio_1.2.4.tgz, r-oldrel (x86_64):rio_1.2.4.tgz
Old sources: rio archive

Reverse dependencies:

Reverse imports:AdverseEvents,allMT,boxr,bruceR,childfree,cloudstoR,ComPrAn,CRISPRseek,datamods,dataquieR,DistPlotter,editData,estadistica,ExPanDaR,framecleaner,gDRimport,genogeographer,gesisdata,GUIDEseq,heterogen,IGoRRR,importinegi,ISRaD,lehuynh,LinkHD,metaConvert,mmstat4,NormalityAssessment,octopus,pewdata,PRISMA2020,ropercenter,rUM,StatTeacherAssistant,sysAgNPs,tfrmtbuilder,welo
Reverse suggests:car,datawizard,DyadRatios,esquisse,eventglm,genekitr,Hmisc,ledger,metaconfoundr,multid,oceanis,pcutils,sampleVADIR,text,ufs

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=rioto link to this page.


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