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Hi! I'm developing R packages and use Travis CI for continous integration. When submitting to CRAN Im suggestet to test the package using the latest R-devel. I would like that all test where run using Travis. Is there anyone who knows if this is possible to run travis test using the latest r-devel? -- Regards M?ns ============================ M?ns Magnusson 070 - 588 97 15 mons.magnusson

On 18 January 2016 at 09:45, M?ns Magnusson wrote: | I'm developing R packages and use Travis CI for continous integration. When | submitting to CRAN Im suggestet to test the package using the latest | R-devel. I would like that all test where run using Travis. Is there anyone | who knows if this is possible to run travis test using the latest r-devel? Literally "anything is

Thank you all for the comments and suggestions! I got the link from Garbor to work, but that is the old r-travis approach (using C). I tried the same approach with native R Travis build but unfortunately it did not work. So I contacted Jim Hester and he told me that they are now actively working with implementing multiple R versions in the native R builds. /M?ns 2016-01-18 15:17 GMT+01:00 Dirk

...etc/rc.d/init.d/halt Thus: ----------- # Remount read only anything that's left mounted. # echo $"Remounting remaining filesystems readonly" mount | awk '{ print $3 }' | while read line; do fstab-decode mount -n -o ro,remount $line done # Added by R Chapman 18/5/2009 as suggesteted in: # /usr/share/doc/nut-2.2.0/docs/shutdown.txt mdadm --readonly /dev/md0 mdadm --readonly /dev/md1 # Now halt or reboot. -------------- Does this look like the right thing to do - and the right place to do it? This is obviously fairly specific to my system (or systems with md0 and md1). Has...

Hello, dear R-community. This is a question about TukeyHSD between factor combinations of a Three-Way ANOVA, which is - since it is a multi measure ANOVA - not a simple ANOVA but a Generalised Linear Mixed Model (GLMM), calculated with "lmer". > growth <- groupedData(length~meas|box_id,outer=~spec*comp*water,data=all.spec) > model <-

Hi, I'd like to unsubscribe from the list. Thanks Neyra ________________________________ De: "r-help-request@r-project.org" <r-help-request@r-project.org> Para: r-help@r-project.org Enviado: sáb, octubre 30, 2010 5:30:07 AM Asunto: R-help Digest, Vol 92, Issue 31 Send R-help mailing list submissions to r-help@r-project.org To subscribe or unsubscribe via the