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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: 1.2.3
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
Published: 2024-09-25
DOI: 10.32614/CRAN.package.rio
Author: Jason Becker [aut], Chung-hong Chan ORCID iD [aut, cre], David Schoch ORCID iD [aut], Geoffrey CH Chan [ctb], Thomas J. Leeper ORCID 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 Denney ORCID iD [ctb], Alex Bokov ORCID iD [ctb], Hugo Gruson ORCID iD [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.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_1.2.3.tar.gz
Windows binaries: r-devel: rio_1.2.3.zip, r-release: rio_1.2.3.zip, r-oldrel: rio_1.2.3.zip
macOS binaries: r-release (arm64): rio_1.2.3.tgz, r-oldrel (arm64): rio_1.2.3.tgz, r-release (x86_64): rio_1.2.3.tgz, r-oldrel (x86_64): rio_1.2.3.tgz
Old sources: rio archive

Reverse dependencies:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rio to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.