I am guessing this is a distribution prepared by someone else, with
non-default settings for where things are installed. If you do that,
there is no guarantee that you can test the installed R, as the tests do
generally assume the standard layout.
If you change this test to use file.path(R.home("share"),"texmf") it is
more likely to work.
Note too that R 3.0.2 is already 3 versions old, and the posting guide
asked to you to update before posting.
On 23/07/2014 12:06, Richard Chandler-Mant wrote:
I have an installation of R 3.0.2 on a CentOS 6.3 distribution in /opt/R/3.0.2
In the R start-up script (/opt/R/3.0.2/bin/R) the value of R_HOME is set to
/opt/R/3.0.2/lib/R and this is the value returned from the R.home() function
within an R session.
According to the installation documentation
(http://cran.r-project.org/doc/manuals/r-release/R-admin.html#Installation) the
following statement is made about the R home directory:
"prefix/LIBnn/R or libdir/R
all the rest (libraries, on-line help system, ...). Here LIBnn is usually 'lib', but
may be 'lib64' on some 64-bit Linux systems. This is known as the R home
directory."
So from this I gather that my R linux installation is correct. The issue I am
having is running some of the unit tests that are included with the core R
application, specifically the reg-tests-1b.R file in the tests directory which
contains the following:
## recursive listing of directories
p <- file.path(R.home(), "share","texmf") # always exists, readable lfri <- list.files(p, recursive=TRUE,
include.dirs=TRUE) subdirs <- c("bibtex", "tex") lfnd <- setdiff(list.files(p, all.files=TRUE, no..=TRUE),
".svn") stopifnot(!is.na(match(subdirs, lfri)), identical(subdirs, lfnd)) ## the first failed for a few days, unnoticed, in the
development version of R
This test is failing for me because R.home() = /opt/R/3.0.2/lib/R and the
directory /opt/R/3.0.2/lib/R/share/texmf does not exist but does exist at
/opt/R/3.0.2/share/texmf
Is this a bug with the test or an error in my installation?
Thank you in advance for your help.
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Brian D. Ripley, rip...@stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
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