Another option is to put an R file of the same name as your dataset into
the "data" directory and specify how your data should be read. I use it
whenever I need to overwrite other arguments from the default
read.table. If you have e.g. mydata.csv, a file mydata.R would contain
this line:
mydata <- read.table("mydata.csv", sep=",") # possibly with other args
Hana
On 16/08/2016 12:48, Fox, John wrote:
Dear Mike,
Perhaps it's stating the obvious, but why not save the .csv file
with
";" as the delimiter using the sep argument to write.csv() or
write.table(), or save as a .txt file with " " as the delimiter?
Although I don't know why ";" was chosen in preference to "," for
data(), I doubt that it's a bug since the behaviour corresponds to
what's in ?data, as you noted.
I hope this helps,
John
--------------------------------------
John Fox, Professor
McMaster University
Hamilton, Ontario, Canada
Web: socserv.mcmaster.ca/jfox
-----Original Message-----
From: R-package-devel [mailto:r-package-devel-boun...@r-project.org] On
Behalf Of Mike Mehan
Sent: Tuesday, August 16, 2016 3:29 PM
To: r-package-devel@r-project.org
Subject: [R-pkg-devel] data function from utils package
Hi,
I'm having trouble loading a csv file from my package data directory
using the data() function. We have an external file that gets updated
every month or so that we would like to include as data in our package.
We are able to import it using the data function when it is saved as an
R Data file but when we save it as a csv file it fails. I checked the
help for data and it says that it supports csv files but it says that it
calls read.table with the separator as a semi-colon instead of a comma.
I checked the source code and it also uses a semi-colon. Is this a bug?
I would be really nice to be able to use csv files since we refresh this
file fairly often and I'd rather not have to save it as an R data file
each time. We also got it working with system.file but using data() is
much cleaner. Any suggestions?
Thanks,
Mike
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