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.
GREA provides an RStudio add-in to import data using rio.
import
, import_list
, export
, export_list
, convert
, install_formats
# NOT RUN { # 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)) # }
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