Names = c("x", "y", "z"), class = "ame", row.names = c(NA, -4L))įor using the clipboard on Windows, see John Cook’s blog for excellent and thorough guidance. ![]() # output of dump (execute this part to get the test.df object without test.df <- read.table(pipe("pbpaste"), sep="\t", header=TRUE) is a unique identifier for individuals and businesses using Cash App. and hit Command C on the keyboard to copy it to the Mac clipboard. Execute this to get the R object back again next time you run the script. Copy and Paste your data here (from Word, Excel, Google Docs, etc. The copy / paste shortcuts on Mac are just as easy to use and as easy to remember. Copy it then, run the read.table function then dump to stdout() to get a text representation of the R object. For example to get the data from Figure 1 into R. Once you have copied the data into R from the clipboard, it’s a good idea to dump it to your R script (or save it) then you can get the data again without having to go back to the clipboard. ![]() ![]() ![]() To read from the clipboard, copy some numbers from a spreadsheet and try something like: read.table(pipe("pbpaste"), sep="\t", header=TRUE) # for a data frameĪs.vector(unlist(read.table(pipe("pbpaste"), sep="\t", header=FALSE))) # for a vector
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