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))
# }