I just upgraded Julia from 1.3.1 to 1.4.2. That worked well. However, when I start Juno it still uses the old Julia version. How can I fix this?
(I'm working on a Windows 10 machine, but I guess answers for other OS' should be helpful as well.)
You can set the path in the Atom package settings of the julia-client package (shortcut to get there is Ctrl+J followed by Ctrl+,):
Related
Recently I've tried to install keras package in R. I ran the following commands:
install.packages("keras") library(keras)
But when I ran is_keras_avalable() I got FALSE.
I was told, that the problem with unsuccessful 'keras' installation may come from the old RStudio version, which is installed on my notebook (I work in RStudio 3.4.0). I was adviced to reinstall RStudio and to get a brand new version.
Could you, please, tell me how to do it? I'd be very pleased if you provide me with the necessary links for installing the latest RStudio version on Windows 8.1.
Thank you for your help.
RStudio is an application (specifically, an Integrated Development Environment, or IDE). This is a common tool for using R, which is a computer language. Much like Microsoft Word is a common tool for writing documents in English (or other languages - and in fact you can use RStudio to write files other languages like RMarkdown, Python, SQL, French, or Swahili.). However, just like you can write English in programs other than Word, you can also write and run R code in programs other than RStudio.
You can find the most recent version on the RStudio website, or you can look in the Help menu and select "Check for updates", which will give you a download link if a newer version is available.
Given the version number you show, 3.4.0, you need to upgrade R (the language), not RStudio (the application). The current RStudio version as I write this is 1.3.*, while the current R version is 4.0.*.
The place you need to go to update R is CRAN - their website has download links for Windows, Mac, and Linux.
I am running R 3.6.1 on a Mac Mini running Sierra and a MacBook Pro running El Capitan. I normally get all the R packages that I need from CRAN or github and use them without issues, but I am trying to install and use an R package (NicheMapR) that requires a fortran compiler and this is giving me issues. Even after installing gfortran, the R package still does not work (the fortran code seems to be compiled but the package installation fails). The package developer suggested that installing R via homebrew might solve the problem. On the contrary, my hunch is that it would lead to a world of pain, to quote Walter from the Big Lebowski. My questions are:
What is the advantage of a homebrew version of R for MacOSX over the "regular" version installed from CRAN?
Can the two versions coexist?
Is the homebrew version going to affect the regular one?
Finally: is homebrew going to help or will it simply open a whole
new can of worms?
Many thanks in advance.
Yes, installing from homebrew is a recipe for pain. It's specifically recommended against by the official CRAN binary maintainer see his remarks from March 2016 on r-sig-mac.
Regarding your questions, this can be summarized as:
What is the advantage of a homebrew version of R for MacOSX over the "regular" version installed from CRAN?
Positives: Select your own BLAS and easily work with geospatial tools.
Downsides: Always needing to compile each R package.
Can the two versions coexist?
Yes. The homebrew version installs into a different directory. But, watch out for library collision (see next question). However, you will have to deal with symbolic linking regarding what version of R is accessible from the console and you will also need to look into using RSwitch to switch between R versions.
Is the homebrew version going to affect the regular one?
Yes, if the library paths overlap. There will be problems regarding package installation and loading. Make sure to setup different library paths. To do so, please look at the .libPaths() documentation.
Finally: is homebrew going to help or will it simply open a whole new can of worms?
Yes and no. Unless you know what you're doing, opt for the CRAN version of R and its assorted goodies.
I'm trying to use the legacy version of R to run a package on Mac.
On Windows there is a switch in the General tab. However, it is not found on Mac RStudio. I referred to this post: https://support.rstudio.com/hc/en-us/articles/200486138-Using-Different-Versions-of-R
And I do not quite understand the 3 options:
Run the installer from CRAN for the R version you want to be current
List item Use the RSwitch utility available at: http://r.research.att.com/
Update the R.framework/Versions/Current directory alias directly
using ln -s
Especially for RSwitch utility, how do I even open/use that?
Thanks!
This old question is again timely, with the move to R version 4.
There is an RSwitch.app available for MacOS 10.14+ that provides this functionality via a menu bar app. You can choose which of your R builds to use, integrating with the standard Mac GUI and with RStudio. (I've had trouble with the newest Mac GUI not working with R 3.6.3 but RStudio seems to work fine with both that and R 4.0.1 along with this RSwitch.app.) The help pages for Rswitch show what's going on underneath, if you prefer to work via a command line.
If you use a standard .pkg via GUI to install a newer version of R it will effectively forget the other versions. You can use the command
pkgutil --forget (path to package name)
with the .pkg to overcome that. (I've had trouble installing from a tarball instead; might just be my incompetence.) Installing an older version from a .pkg won't overwrite a newer version but in that case it might be safest to omit any attempt to instal older Tcl/Tk and Texinfo, selectable with the "Customize" button at the "Installation Type" stage of the installation. With security settings in MacOS you might have trouble opening some R .pkg files; the awkward workaround is to use Control/right/two-finger click on the file in the Finder, then select ‘Open With’ and ‘Installer’ from the menu that appears.
The version of RSwitch.app noted in the question is still available via a link from this page. This is evidently 32-bit as it is disabled on my Mac under OS 10.14.
How do I install an old version of R on a window 10 64 PC.
I am currently running R 3.2.3 with RStudio without any problems. However a package I want to use (GSIF) only works on R2.15. I have found that it is possible to easily get RStudio to work with different R versions and I have found and downloaded the old version of R I want ( R-2.15.1-w.tar.gz) from the CRAN archives. My problems is cannot work out how to install the R-2.15.1-w.tar.gz package on a windows machine or in fact even if it is the right package for windows. All the instruction I can find seem to relate to Linux.
Any guidance greatly appreciated.
You can hold down the Control key during the launch of RStudio you can cause the R version selection dialog to display at startup.
https://support.rstudio.com/hc/en-us/articles/200486138-Using-Different-Versions-of-R
I feel pretty comfortable working with R, and I want to get into Python through Anaconda.
Upon trying the Jupyter Notebook and finding it has compatibility with R, I really want to use it.
I'm having problem installing the R packages that don't come in R-essentials; and mainly because I noticed it uses a different R installation than the one I had before. Not only is this a different R installation, but it also uses a previous version of R. In my local installation I have updated to 3.2.3 but in the Anaconda environment for Jupyter I got 3.1.
I also found a post to change the .libPaths variable to include the packages that I had already installed. Still, I see this as a potential problem because of the different R versions.
I wanted to know if I can update the R version that's used in Anaconda, or if I can point to the one that's installed locally.
Thank you.
You can install IRkernel in the normal R installation and then register the kernel: simply follow the instructions at http://irkernel.github.io/installation/