[Rd] Running package tests and not stop on first fail

Hervé Pagès hpages at fredhutch.org
Thu Nov 3 18:25:44 CET 2016

Hi Martin, Jan,

On 11/03/2016 03:45 AM, Martin Maechler wrote:
>>>>>> Jan Gorecki <J.Gorecki at wit.edu.pl>
>>>>>>     on Tue, 1 Nov 2016 22:51:28 +0000 writes:
>     > Hello community/devs, Is there an option to run package
>     > tests during R CMD check and not stop on first error? I
>     > know that testing frameworks (testhat and others) can do
>     > that but asking about just R and base packages. Currently
>     > when package check runs test scripts in ./tests directory
>     > it will stop after first fail.  Do you think it could be
>     > optionally available to continue to run tests after
>     > failures?  Regards, Jan Gorecki
> I agree that this would be a useful option sometimes.
> So I would be supportive to get such an option, say,
>    R CMD check --no-stop-on-error  <pkg>

A couple of years ago the behavior of 'R CMD check' was changed to
continue checking (e.g. the examples) after many types of errors, and
to output a summary count of errors at the end if any have occurred.
So --no-stop-on-error could easily be interpreted as an option that
controls this behavior (and would also suggest that the default has
been reverted back to what it was prior to R 3.2.0), rather than an
option that specifically controls what should happen while running
the tests.


> into R if someone provided (relatively small) patches to the R
> sources (i.e. subversion repos at https://svn.r-project.org/R/trunk/ ).
> The relevant source code should basically all be in
>     src/library/tools/R/testing.R
> Note that this may be complicated, also because "parallel"
> checking is available in parts, via the TEST_MC_CORES
> environment variable ((which is currently only quickly
> documented in the 'R Administration ..' manual))
> Martin Maechler
> ETH Zurich
> ______________________________________________
> R-devel at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-devel

Hervé Pagès

Program in Computational Biology
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