https://cran.r-project.org/bin/linux/ubuntu/
On October 12, 2019 1:46:29 PM PDT, Adam Frank <phil.math.lo...@gmail.com> wrote: >I just got a new Linux computer running Pop!_OS. If I download R from >the >repository, which is basically he same as on Ubuntu, I get an outdated >version that can't run ggplot2. So I went to the R download page and >downloaded the newest version. It has make and config files but they >require an intense number of dependencies and I couldn't figure out how >to >ever get the X11 dependency resolved. Some places suggested installing >packages related to xorg, but I didn't find `xorg-x11*` in my package >manager at all. I tried installing `xorg-*` but this didn't resolve >the >problem. > >I tried installing Anaconda and doing everything within there. It >delivers >the latest version of R but still to run `install.packages("dplyr", >dependencies=T)` throws a ton of errors about unmet dependencies, one >of >which is again X11. So at this point I'm feeling kind of stuck on this >... > >And it just seems wild to me that it's this hard to get R working with >dplyr. Is there an easier way? > >I also tried guessing that maybe `conda install r-dplyr` might do >something >but no luck, package not found. Might have something to do with >environments, I'm not really clear on how those work. > >Anyway, for details: My OS is Pop!_OS 19.04, my R version is 3.6.1, >RStudio >1.1.456 running by way of Anaconda. Recently ran an update on every R >package. > > [[alternative HTML version deleted]] > >______________________________________________ >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >https://stat.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide >http://www.R-project.org/posting-guide.html >and provide commented, minimal, self-contained, reproducible code. -- Sent from my phone. Please excuse my brevity. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.