I was trying to run the command install_keras() in R Studio but it is showing error. how to resolve this issue kindly help.
Error:installing python packages into virtualenv is not supported on windows
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I am trying to install packages from R studio but it doesn't work. The error is shown in image.
I could install from R so R studio should have an issue.
How do I fix it?
Tried to install via xcode and commandline tool.
Tried reinstall R and R studio.
edited .r/makevars
I am trying to instal R in jupyter notebook after I updated recently my R version (currently it is 4.1.3).
I passed line by line after the instructions but in the last step (did it in anaconda prompt), I faced this error message:
Error in IRkernel::installspec() :
jupyter-client has to be installed but "jupyter kernelspec --version" exited with code 1.
I found similar errors in the net, but not with "exited with code 1."
I think the update of the R-version has changed something in Anaconda and it is doesn't recognize by it (maybe re-install R in anaconda, but I am not sure if so, and how to do it).
can someone help with it?
thanks
I used to work in R 3.4.0 version. Hovewer, this version doesn't support such packages as keras and tensorflow.
I was adviced to upgrade my R version to the newest one.
I downloaded the most recent R version 4.0.2 from the official site, then ran the following code:
install.packages("keras")
library(keras)
install_keras()
And got the following error:
Error in install_keras() :
You should call install_keras() only in a fresh R session that has not yet initialized Keras and TensorFlow (this is to avoid DLL in use errors during installation)
After this, when I tried to quit R session by q() , I faced the following error:
Error: option error has NULL value
Error: no more error handlers available (recursive errors?); invoking 'abort' restart
Error: option error has NULL value
I've never faced such an error before. When I used old R version, I typed q() and then had to choose between y and n. No errors appeared.
I'm asking you to help to to solve this problem.
You need to create a new environment and then you can install R 4.+ in Anaconda. Follow these steps.
conda create --name r4-base
After activating r4-base run these commands
conda activate r4-base
conda install -c conda-forge r-base
conda install -c conda-forge/label/gcc7 r-base
Finally, you will notice r-basa version 4 will be installed.
Thereafter, you can install any supported packages. But with this only, you won't have the ability to use it in the Jupyter notebook. You need to install install.packages('IRkernel') and Jupyter notebook as well if you want to use it. Otherwise you are good to go with R-Studio.
For Jupyter Installation and RKernel.
conda install jupyter
Then open the R console. Write in R console
install.packages('IRkernel')
IRkernel::installspec()
Congrats! You can use Notebook for Python and R.
Find the location of R.exe on your computer. In my computer, this executable is at
C:\Program Files\R\R-3.4.3\bin
Open another Anaconda Prompt as Administrator and change directories to wherever R.exe is on your computer with cd file path. On my computer, it’s cd C:\Program Files\R\R-3.4.3\bin, but it might be different for you.
Then run R from within Anaconda Prompt in Admin mode with R.exe
You’ll notice that you’re in an R session. From here, run the following three commands into the terminal.
install.packages("devtools")
devtools::install_github("IRkernel/IRkernel")
IRkernel::installspec()
In order, they (1) install the devtools package which gets you the install_github() function, (2) install the IR Kernel from GitHub, and (3) tell Jupyter where to find the IR Kernel.
Open Jupyter notebook and enjoy your new R kernel!
Get more information here
#Rheatey Bash works perfectly. but i was facing python.exe this program cant start because api-ms-win-core-path-l1-1-0.dll python system error. this is a problem running on windows 7 but i resolved this issue by installing the kernel following https://richpauloo.github.io/2018-05-16-Installing-the-R-kernel-in-Jupyter-Lab/ and it works fine
I just installed R 3.4.4 and Rstudio on my computer with the OS Ubuntu 16.04. Rstudio detects the Installation of R and works normally. However, trying to run R in the terminal I get this error:
Fatal error: unable to open the base package
I have trying setting the R_HOME using:
export R_HOME=/usr/lib/R
However it did not work. Any idea how to resolve this?
I am aware that this question has been asked before but it was a long time ago and all of the advice in the thread didn't work for me. I have anaconda installed on my Windows 10 computer. Jupyter Notebook works fine but I want to add the R kernel. I have installed the IRkernel package and ran IRkernel::installspec() but I get the error message:
Error in IRkernel::installspec() :
jupyter-client has to be installed but "jupyter kernelspec --version" exited with code 127.
In addition: Warning message:
running command '"jupyter" kernelspec --version' had status 127
I ran this in the R console and I have added C:\ProgramData\Anaconda3\Lib\site-packages\jupyter_client and C:\ProgramData\Anaconda3\Scripts to the system PATH as advised in the old question but to no avail. Is there any advice specific to my setup (as the previous question was for an Ubuntu machine) that would fix this?
Ah I figured out what I needed to do. I'll leave an answer here in case anyone else has the same issue in the future.
Executing from either RStudio or R console wasn't working. Instead I had to run R in the anaconda console and then run the command and it worked without an error.
I had the same problem. Updated the paths, exactly as you have. Kept getting errors when I tried
devtools::install_github('IRkernel/IRkernel')
claiming that 'digest' wasn't available. I also got 'status 127' when attempting to execute
IRkernel::installspec(user = FALSE)
What seems to have worked for me was to execute
install.packages(c('repr', 'IRdisplay', 'evaluate', 'crayon', 'pbdZMQ', 'devtools', 'uuid', 'digest'))
in RStudio. Then, in R console, I executed the other commands. No errors, and I verified that I now have the option for R in the dropdown for 'New'.