Simple utility functions to read and write from the system clipboards of Windows, OS X, and Unix-like systems (which require either xclip or xsel.)
Install from CRAN
install.packages("clipr")
Or try the development version
devtools::install_github("mdlincoln/clipr")
library("clipr")
cb <- read_clip()
# Character vectors with length > 1 will be collapsed with system-appropriate
# line breaks, unless otherwise specified
cb <- write_clip(c("Text", "for", "clipboard"))
cb
#> [1] "Text\nfor\nclipboard"
cb <- write_clip(c("Text", "for", "clipboard"), breaks = ", ")
cb
#> [1] "Text, for, clipboard"
write_clip
also tries to intelligently handle data.frames and matrices, rendering them with write.table
so that they can be pasted into a spreadsheet like Excel.
tbl <- data.frame(a = c(1, 2, 3), b = c(4, 5, 6))
cb <- write_clip(tbl)
cb
#> [1] "a\tb\n1\t4\n2\t5\n3\t6"
read_clip_tbl
will try to parse clipboard contents from spreadsheets into data frames directly.
clipr's functionality on X11-based systems depends on the installation of additional software. Therefore, if you want to use clipr in your package, you will want to take some care in how you call it, and make sure that your package will respond gracefully if clipboard functionality is not working as expected. You can use the function clipr_available()
to check if the clipboard is readable and writable by the current R session.
A few best practices will also help you responsibly test your clipr-using package on headless systems like CRAN or other testing infrastructure like Travis:
- Examples that will try to use
read_clip()
orwrite_clip()
ought to be wrapped in\dontrun{}
- Tests calling clipr should be conditionally skipped, based on the output of
clipr_available()
. This is necessary to pass CRAN checks. - If you are using Travis.ci to check your package build on Linux, consult the
.travis.yml
for this package, which includes code for setting theDISPLAY
environment variable, installingxclip
andxsel
, and running a pre-build script that will set upxclip
/xsel
to run headlessly. - If you wish to display system requirements and configuration messages to X11 users,
dr_clipr()
provides these.
(a non-comprehensive list)
- reprex by @jennybc takes R code on the clipboard and renders a reproducible example from it, ready to then paste on to GitHub, Stack Overflow, or the like.
- datapasta by @milesmcbain eases the copying and pasting of R objects in and out of different sources (Excel, Google Sheets).
- curlconverter by @hrbrmstr translates cURL command lines into httr calls.