On 25.04.2018 19:45, Jose A Guijarro wrote:
Many thanks for your advise, Sarah!

I will try to implement it. (Now I will have to change all my reading and
writing sentences of all my functions, because they read/write from/to
the users working directory...)

Whcih is OK if the user specifies some filename.

Best,
Uwe Ligges



Best regards,

     Jose

El 25/04/18 a las 19:32, Sarah Goslee escribió:
Don't change the working directory! That has all kinds of unpleasant
side effects for the unsuspecting user, possibly even more so than
writing to a file.

Instead, write the file to the temp directory, and read it from there, with e.g.

wd <- tempdir()
write(dat, file.path(wd, 'Ttest_1981-2000.dat'))

Using file.path() means that the appropriate path delimiter for that
OS will be used.

Sarah


On Wed, Apr 25, 2018 at 12:30 PM, Jose A Guijarro <jguijar...@aemet.es> wrote:
Dear all,

I am struggling to update my package climatol from version 3.0 to 3.1.
The old version had all examples under a "dontrun" section because they
needed files created by other examples that the user had to run first.

As this is not acceptable anymore, I made the examples runnable and
prepared small ad-hoc datasets, but then writing files to the user space
is against the CRAN policy rules, and I was suggested to run them on a
temporal directory. Therefore I changed all my examples to read/write
files to a tempdir(), as in:

\examples{
#Set a temporal working directory and write input files:
wd <- tempdir()
setwd(wd)
data(Ttest) #(This loads matrix 'dat' and data.frame 'est.c')
write(dat,'Ttest_1981-2000.dat')
write.table(est.c,'Ttest_1981-2000.est',row.names=FALSE,col.names=FALSE)
rm(dat,est.c) #remove loaded data from memory space
#Now run the example:
dd2m('Ttest',1981,2000)
#Input and output files can be found in directory:
print(wd)
}

But now CRAN checks return this warning ten times (one for every example
in the package):

Warning: working directory was changed to ‘/tmp/RtmpWSRK2F’, resetting

Any hint on how to solve the problem will be highly appreciated...

Jose




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