[R] RE: packaged datasets in .csv format (David Firth)
Andreas Christmann
christmann at statistik.uni-dortmund.de
Thu Jul 10 12:39:27 CEST 2003
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Wed, 9 Jul 2003 10:53:27 +0100
> From: David Firth <david.firth at nuffield.oxford.ac.uk>
> Subject: [R] packaged datasets in .csv format
> To: r-help at stat.math.ethz.ch
> Message-ID:
> <307D34CE-B1F3-11D7-A8D2-0050E4C03977 at nuffield.oxford.ac.uk>
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>
> A couple of questions in connection with using .csv format to include
> data in a package:
>
> First, the background. The data() function loads data from .csv
> ("comma-separated values") files using
>
> read.table(..., header = TRUE, sep = ";")
>
> But ?read.table says
>
> ## To write a CSV file for input to Excel one might use
> write.table(x, file = "foo.csv", sep = ",", col.names = NA)
> ## and to read this file back into R one needs
> read.table("file.csv", header = TRUE, sep = ",", row.names=1)
>
> As a result, .csv files created by write.table() as above are not read
> in by data() in the way that might be expected [that is, expected by
> someone who had not read help(data)!]
>
> Two questions, then:
> -- is there some compelling reason for the use of `sep = ";"' in place
> of `sep = ",", row.names=1'?
I prefer ";" instead of "," , because in text variables there are often
",".
> -- if I want to maintain a dataset in .csv format, for use both in R
> and in other systems such as Excel, SPSS, etc, what is the best way to
> go about it?
Depends. Perhaps it is best to check it out for the software packages
and the versions of the software packages you are using.
Andreas Christmann
>
> Any advice would be much appreciated.
>
> Cheers,
> David
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