Im currently using R through Java, and im not sure which version im using.
I've stetted in R studio my R version into version 2.15.3 which is what i need:
And so is my enviorment variable setting (R_home):
But typing in the command line : "R":
So which version in being used?
Based on what you describe, you have the most updated version of R installed and RStudio is able to detect it. However the version of R that is currently in your OS environment variable (and hence used by Java) is not the most recent,
=> you need to update your PATH environment variable.
The procedure might be a bit different whether you are on Unix or Windows.
I am sure you'll find plenty of ressources on Internet to help you do that How to update PATH variable permanently from cmd? Windows
Related
I would like to use the R environment I installed with conda inside Visual Studio Code (on Macos). First I installed R with conda.
But how do I use/activate the environment in Visual Studio Code? In the settings I can't find the equivalent to "Python: Select Interpreter" or "python.venvPath"
Thanks!
R support in VSCode is handled by a 3rd party extension. The most popular one is R by Yuki Ueda and there is also R Tools by Mikhail Arkhipov
For both of these, you can change the R interpreter to use in the settings.
However, there is no built-in support for Anaconda, mostly because it isn't that popular or necessary in the R community. Most people use the standard R installation instead and most help resources are written for that type of installation: https://cloud.r-project.org/bin/macosx/
It has been 2 years since this entry and the extension still doesn't support conda environments.
For my configuration (I've R installed in a conda environment), I found a pretty painless work around:
open 'vscode'
install the extension and configure it as suggested using the conda paths for both R and, if you have it installed, radian
close 'vscode'
open a terminal
activate your conda environment
start vscode from your terminal using code
After this, everything seems to be up and running correctly. You can start an R terminal using the command palette and, as you run your code, you should be able to see all the information about the environment and namespaces as well as your plots.
First of all, I am working on a Mac. I am trying to install Blotter from GitHub. I found several descriptions of how to do that but my RStudio tells me that I am missing Building tools and gives me a link (https://www.cnet.com/how-to/install-command-line-developer-tools-in-os-x/) where it is described to do that. So far so good. I downloaded Xcode and the command line tools for Mac and installed those. Nothing changed even after restarting R. Then I found this https://cran.r-project.org/bin/macosx/tools/. I installed it and during that, it told me that I had to do the following
"This package will install clang 6.0.0 for OS X 10.11 (El Capitan) or higher with OpenMP support in /usr/local/clang6
In order to use this compiler you have to add /usr/local/clang6/bin to the PATH environment variable such as
export PATH=/usr/local/clang6/bin:$PATH"
So I changed the environmental variable path as follows http://blog.tonytsai.name/blog/2018-05-07-setting-path-variable-for-gs-command-in-rstudio/.
How I changed the PATH variable.
Again I restarted R but still, nothing changed. I still get the notice that the building tool is missing.
Somehow it seems to me that I installed everything correctly but R doesn't recognize the Programmes. Does anyone have an idea? I tried to search for settings to tell R that I installed the command line tool but couldn't really find anything helpful.
Ok, a bit of an update.
Best I can see it that Blotter is built and stored on R-Forge packages under a package called RStrategist
In R console type/cut & paste this.
install.packages('RStrategist',repos='http://R-Forge.r-project.org')
See R forR-Forge for more details. Once this has been installed run instead.
library(RStrategist)
Unfortunately, I am not willing to install this package and see if it works mainly because 1) don't need it nor know how to use it, 2) not sure how good packages are from R-forge, though it seems legit, but, this brings me back to point one.
So before i read the updated answer of Conrad Thiele i was trying around bit. Basically i deleted R, R Studio, Xcode and Command Line tools. Then i installed Xcode, Command Line tools, R and RStudio. Then i followed the notice on https://cran.r-project.org about the tools and installed both stated tools. As mentioned in the original question the Clang package tells you to change the Environmental Variable. And there was the mistake i believe. I originally simply pasted "PATH=/usr/local/clang6/bin:$PATH" into the the ".Renviron" file. With reading up online i noticed that "export PATH=/usr/local/clang6/bin:$PATH" is actually a Command for the Mac Terminal. After executing it, it sill didn't work but then i remembered that i still had the Path "PATH=/usr/local/clang6/bin:$PATH" in the the ".Renviron" file. Once i deleted that it worked. So i guess the key was that with changing the Environmental Variable correctly R found the connection with the right tool. Patients paid off.
My Rstudio (on linux) runs R version 3.3.0 and I don't have a clue what's directing it to do so. I'm using a VM, where my .bashrc file loads R 3.3.1 where I also set the RSTUDIO_WHICH_R env' variable to R 3.3.1 using:
export RSTUDIO_WHICH_R=`which R`
I've also set these two in the .bashrc file of root, but that neither prevents Rstudio from using 3.3.0.
Any idea how to force Rstudio to use the R version I want?
Your solution is almost as it appears in this documentation, but I worry that the shell command expansion doesn't apply when being exported. To find out, what does echo $RSTUDIO_WHICH_R return? (tested, works fine).
Perhaps try executing which R and using that full path as the exported variable.
Update: From that documentation,
Not that in order for RStudio to see this environment variable when launched from the Ubuntu desktop Applications menu (as opposed to from a terminal) it must be defined in the ~/.profile file.
I have a problem downloading R in my mac which I have been dealing with for many hours now.
My purpose is to use propensity score matching in SPSS (from source forge). I am using SPSS version 22 on my mac OS X yosemite 10.10.5.
After reading a lot on the different sites I need to use R.2.15 for SPSS 22 in order to use the psmatching 3.03 on source forge.
However, I cannot seem to install R 2.15 when I run the installation package. When I am going to select destination on the macintosh HD, it says that R2.15.0 for Mac OS X 10.5 or higher can’t be installed on this disk. How is this possible? My OS X version is higher than the demanded version for R 2.15.
Any ideas how to make the installation?
I've run into this problem myself: SPSS versions require very specific versions of R to be installed for the R Integration plug-in to work. An older or newer version of R will not suffice.
I think the installation error is due to the old R installer's attempt to verify a sufficiently high OS X system version. But it doesn't recognize 10.10+ as being higher than 10.9 (or 10.5 for that matter).
The link below has information about disabling OS X El Capitan's System Integrity Protection, in order to change the OS X file /System/Library/CoreServices/SystemVersion.plist, so that a false system version can be reported to the installer.
https://forums.developer.apple.com/thread/4138
A safer method might be to manually place the files from R's 2.15 installer. There's an apparent complication with my attempt at that, though. I opened the R 2.15.pkg installer file, found a file 'payload' inside, used 'tar -xzvf Payload' to extract contents, and moved those contents into /Library/Frameworks/R.framework/Versions/2.15. In retrospect, it may be most useful to temporarily re-alias "Current" in the R.frameworks folder so that it points to 2.15 version while the installer completes. Instead, I did the following to get around installer error messages I found in the installer log file, which worked for me:
The SPSS Essentials for R installer reported that the install location does not contain R 2.15. Examining the error log files led me to believe that the installer's attempt to verify the R version inappropriately navigated to the "Current" version (aliased to a specific version, likely not R 2.15 if 2.15 was installed manually), even if the directory for 2.15 was specifically entered into the installer. It then seeks a couple of i386 subdirectories that no longer exist as of R 3.2.2. So (for my case) I manually created "/Library/Frameworks/R.framework/Versions/3.2/Resources/bin/exec/i386" and copied version 2.15 of the R unix executable, and did similarly for "/Library/Frameworks/R.framework/Versions/3.2/Resources/etc/i386", copying in the ldpaths file that the installer seeks. Doing so finally allowed the SPSS Essentials for R installer to complete. In retrospect, temporarily re-aliasing "Current" in the R.frameworks folder might have been a more direct approach, but I haven't tried that as of right now.
For what it's worth, I was able to install an older version of R (for a different purpose, but I found this page while trying to figure it out), without having to temporarily change the version of OS X (or macOS) on my system. That seemed dangerous to me, and I wanted a simpler fix.
What worked for me was extracting the installer pkg, modifying the version check in there, and then packaging it up again.
Downloading the pkg installer from CRAN
open Terminal and cd to the directory where the installer is: e.g.,
cd ~/Downloads
use pkgutil to expand the pkg file you downloaded
pkgutil --expand R-2.15.0.pkg R-2.15.0
This creates a folder named R-2.15.0 (You can name it whatever you want in the command above). In that folder is a text file called Distribution.
Open the Distribution file in a text editor (e.g., TextEdit), and
modify the function at the beginning that checks the version of OS
X. for example, if it requires Leopard, there will be a line that
looks like this:
if(!(my.target.systemVersion.ProductVersion >= '10.5.0')) {
...
}
Notice that version string for comparison is a string (not a number!), so any version past 10.9 (10.10 and up) will fail that check ('10.10' sorts between '10.1' and '10.2', which is less than '10.5').
All I did was change the minimum version here ('10.5.0') to '10.1'. So the same line reads:
if(!(my.target.systemVersion.ProductVersion >= '10.1')) {
Save the Distribution file.
Go back to terminal and re-package the directory you created in step 3:
pkgutil --flatten R-2.15.0 R-2.15.0-HACKED.pkg
You can call the new pkg whatever you want, as long as you will recognize it.
The resulting package (R-2.15.0-HACKED.pkg, in this example) will now run on any version of OS X higher than or equal to the version you specified (in this case, 10.1 and up).
Disclaimer: I actually tested this with R-2.12.0 (and it worked), but I provided example code for R-2.15.0 to answer the original question. It should be similar with any R installer pkg for OS X that uses a similar version string to check for compatibility before installation.
What do I do when I get the following error message in Eclipse when trying to launch R?
"no session of R is active in the current workbench window"
I've made a tutorial for installing StatET on my Win64 system, you can find it here (mirror). Although it's no rocket science it's easy to get into issues along the way.
You need to first configure R for your system and then you also need to go into Run > Run Configurations... and add a R Console before you can run it.
You also need to be careful about the Java version that you use. I had to uninstall all my Java, then reinstall the 64-bit before it worked. I guess I could've used the 32-bit, but since I use 64-bit R I thought that it might be a better option (although I think the Eclipse environment and R don't really care about sharing bits)
for me had to select rterm, that displayed the r console/terminal. Then do run , run as -> run in R as script via source
I had the sampe problem.
go to Run > Run Configurations > RStudio
and klick on "Run"