rio function

A Swiss-Army Knife for Data I/O

A Swiss-Army Knife for Data I/O

The aim of rio is to make data file input and output as easy as possible. export() and import() serve as a Swiss-army knife for painless data I/O for data from almost any file format by inferring the data structure from the file extension, natively reading web-based data sources, setting reasonable defaults for import and export, and relying on efficient data import and export packages. An additional convenience function, convert(), provides a simple method for converting between file types.

Note that some of rio's functionality is provided by Suggests dependendencies, meaning they are not installed by default. Use install_formats() to make sure these packages are available for use. package

Examples

# export library("datasets") export(mtcars, csv_file <- tempfile(fileext = ".csv")) # comma-separated values export(mtcars, rds_file <- tempfile(fileext = ".rds")) # R serialized export(mtcars, sav_file <- tempfile(fileext = ".sav")) # SPSS # import x <- import(csv_file) y <- import(rds_file) z <- import(sav_file) # convert sav (SPSS) to dta (Stata) convert(sav_file, dta_file <- tempfile(fileext = ".dta")) # cleanup unlink(c(csv_file, rds_file, sav_file, dta_file))

References

datamods provides Shiny modules for importing data via rio.

GREA provides an RStudio add-in to import data using rio.

See Also

import(), import_list(), export(), export_list(), convert(), install_formats()

Author(s)

Maintainer : Chung-hong Chan chainsawtiney@gmail.com (ORCID)

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