Cannot get IRkernel::installspec() to work, jupyter-client not visible - r

I am still in progress to get Jupyter-Notebook and R working together on Windows 10 machine. After solving the problem with install_github() I am now facing just another issue. I am still following the official installation guide, I am stuck at step 2:
Every time I get this error - I have tried this in R GUI and RStudio, the same:
> IRkernel::installspec()
Error in IRkernel::installspec() :
jupyter-client has to be installed but “jupyter kernelspec --version” exited with code 127.
In addition: Warning message:
In system2("jupyter", c("kernelspec", "--version"), FALSE, FALSE) :
'"jupyter"' not found
My attempts so far: It was suggested here and here, that this could be a problem with the PATH variable setting, so I have added Anaconda to the PATH enviroment. I also installed the jupyter-client via the Anaconda console. No change so far. Any ideas?


This answer is based on this by #Ryan, but since the question answered was actually about a Linux based system I put it here in a Windows question:
One way to overcome the problem - if adding PATH variables to the environment doesn't work - is the following:
If Anaconda is installed and the Jupyter-Notebook with it (should be the standard install), open up the Anaconda prompt, not the Windows command prompt or the Anaconda Navigator
Look up the executable of R (not Rgui or Rstudio), it should be somewhere like C:\Program Files\R\R-3.5.1\bin and copy the path
Paste the path into the Anaconda prompt and start R by typing R
Now execute IRkernel::installspec() once again, this time there shouldn't be an error
Now you can start an R kernel within Jupyter-Notebook


You should try to open R in the terminal, if you changed directory where R il located type:
R.exe
and then run:
IRkernel::installspec()


I was having this issue trying to run Jupyter Lab on my Ubuntu 18.04 LTS headless server running in an Azure VM.
To resolve the issued, I had to navigate to /usr/bin and open R from there. It turns out that despite my path, calling R from the terminal opened the anaconda3 version in /home/<you>/anaconda3/bin/R.
Run IRkernel::installspec() from /usr/bin/R in as sudo and it should add the kernel.


If jupyter.exe is installed under c:\python36\sripts, run
"setwd("c:/python36/scripts")" on R GUI, run "IRkernel::installspec()"


Simply create a new virtual environment for R. Either using the CLI or the anaconda Navigator (best recommended, If and if you're using Anaconda).

Related

Cannot start jupyter notebook after deleting anaconda

What happened:
I have had Pip and Anaconda installed on my Mac. I tried to tidy up and decided to delete Anaconda since I assumed I only needed Pip for my Python programming.
My question:
I have been using jupyter notebook for my university project. Apparently, it had been installed by me using anaconda. Now that anaconda is gone, when I try running jupyter notebook, it is still looking in the deleted anaconda directory and throws the following error in the command line
/Users/username/anaconda3/bin/jupyter: No such file or directory
Furthermore, I now get this error when installing jupyter using pip3:
WARNING: The scripts jupyter, jupyter-migrate and jupyter-troubleshoot are installed in '/Users/username/Library/Python/3.8/bin' which is not on PATH.
Unfortunately, I barely have an idea of what I am doing when installing anything using the command line. Could you help me out in fixing the issue?

Installing R 4.0.2 version

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:
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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

Cannot open rstudio from command line though installation worked

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I have Kubuntu 18 and anaconda installed on it.
I had trouble with installing curl and other libraries that need curl.
Since it was maybe due to a problem of paths, I removed R and RStudio from my conda environment in order to work only on the R and RStudio installed in Kubuntu. Something must have gone wrong.
I have tried to remove and reinstall both R and RStudio but it didn't work.
Weirdly, I can launch RStudio from my application launcher and I was able to install all the libraries I needed.
I would like to be able to launch RStudio from the terminal without any problem.
Does someone know what the problem is ?
Thank you !

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Setting up macOS terminal to start a non-Anaconda R installation?

I'm actually trying to get R work with the Jupyter notebook. For this the IRkernel is the native kernel but I'm getting an error code 127 when executing the last step. This is because the last command IRkernel::installspec() needs to be run in bash but the terminal is not recognising a valid PATH to a R installation.
Now, I also have Anaconda installed and despite providing the terminal a valid path to R, keying-in 'R' in the terminal returns this error:
MacBook-Pro:~ Shiv$ R
dyld: Library not loaded: #rpath/libintl.9.dylib
Referenced from: /Users/Shiv/anaconda3/lib/R/lib/libR.dylib
Reason: image not found
Abort trap: 6
Which I believe its pointing out to my Anaconda libraries that doesn't have RStudio installed. Now, I would like to keep R as a totally separate tool and not as a part of Conda. What am I missing here that bash won't start R in the native shell? Once am through with it, installing the kernel to work with Jupyter is a tiny process.

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