I first encountered the error referenced here:
Installing rpy2 on windows
which is that I couldn't install rpy2 because '.sh' isn't recognized by the default windows terminal as a command. To get around that, I'm using a Git Bash terminal, but then I get the error mentioned here:
Installing the R interpeter and R as a shared library uder the same tree
However, the solution in that post is for a Linux install only (I think).
As I understood that post, I should navigate to the bin/ directory in R and run ./configure (which doesn't exist in my directory). Any thoughts on how to fix this error for a Windows install?
Related
I am trying to install package SBCK from R build using Rscript build.R -c -v -i in windows command prompt following the steps given here. However, I ended up with package SBCK being not installed because of following error/warning InstallationWarning: package 'SBCK' is in use and will not be installed. I have no package with name SBCK installed on my system, so I do not understand why I am getting this warning message and thus not to be able to install the R package.
I know that similar question have been asked before here but solution there does not work in my case.
I am using R version 4.2.0 on Windows 10.
Once 'build.R' is run, "SBCK_0.5.0.tar.gz" is created in the 'SBCK-R' folder.
You can now install it via the package archive file option or pointing to that file in the install.packages command. I faced the same issue and this solved it.
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 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).
Conda was used to install R in my centos 7 sysytem. conda install r
the version of installed r is r-3.4.1.
However, when I use r, there have a error output. "/usr/local/bin/miniconda3/lib64/R/bin/exec/R: error while loading shared libraries: libtinfow.so.6: cannot open shared object file: No such file or directory"
Some tests have been used according to search by google use the keyword "libtinfow.so.6".
Only two information can be found. They have no help to me.
enter image description here
I had the same problem on a recent centos installation. But I think this has nothing to do with centos, but rather to misconfiguration related to different R packages version. To solve the problem, I just uninstall all the R related packages and gxx and gcc packages using "conda uninstall ". Than I installed R using "conda install -c r r", which force to install gcc and gxx within the same process.
I'm running Rstudio on its own server.
Java is installed with good java_home and bin.
R is installed. rJava is installed.
Tried to do command: library("rJava") but had issues with libjvm.so, do following Rstudio recommandation I did sudo R CMD javareconf with root.
Here is the output of my javareconf:
Java interpreter : /home/scoremd/jdk1.7.0_03/jre/bin/java
Java version : 1.7.0_03
Java home path : /home/scoremd/jdk1.7.0_03
Java compiler : /home/scoremd/jdk1.7.0_03/bin/javac
Java headers gen.: /home/scoremd/jdk1.7.0_03/bin/javah
Java archive tool: /home/scoremd/jdk1.7.0_03/bin/jar
NOTE: Your JVM has a bogus java.library.path system property!
Trying a heuristic via sun.boot.library.path to find jvm library...
Java library path: $(JAVA_HOME)/jre/lib/amd64:$(JAVA_HOME)/jre/lib/amd64/server
JNI linker flags : -L$(JAVA_HOME)/jre/lib/amd64 -L$(JAVA_HOME)/jre/lib/amd64/server -ljvm
JNI cpp flags : -I$(JAVA_HOME)/include -I$(JAVA_HOME)/include/linux
Seems there is issue with finding the java library path... but my java is working fine and R also.
I didn't receive any solution from RStudio support and community (told me to ask in SO ....).
I have rstudio-server installed on my Centos server. There are a couple of users using rstudio and we decided to upgrade R from 3.6 to 4.0.
After the upgrade :
all users were running R 4.0.
No user could install rJava using install.package('rJava'). This error always popped up
configure: error: Cannot compile a simple JNI program. See config.log for details.
Make sure you have Java Development Kit installed and correctly registered in R.
If in doubt, re-run "R CMD javareconf" as root.
ERROR: configuration failed for package ‘rJava’
Running SUDO R CMD javareconf went smoothly, and also when I opened R as root and went along and tried install.packages('rJava') it installed the package just fine. (unbeknownst to me, root ran R 3.6 and users 4.0, see solution below)
However it did not work installing the package for users in R studio server. Always stating the same "try running sudo R CMD javareconf" as if the Java path for the users was wrong.
so we tried setting the "JAVA_HOME" variable to the same path that java jdk was installed in (found by searching installed packages in yum). That did not solve it.
my solution
I saw that root was running version 3.6 of R while all users ran 4.0. This was because I had installed 4.0 in another directory.. The directory of R 4.0 happens to be found first by the users. However for the root user... it finds the path of R 3.6 first.
So I set the path to the 4.0 folder in the $PATH variable of the root user, so that would find version 4.0 before finding R 3.6
echo $PATH
export PATH="/usr/local/bin:$PATH"
echo $PATH
Then I ran R as that user and ran "R CMD javareconf", installed the packages and all users are happy and working again.
(disclaimer, I'm not a experienced linux admin, there may be a better solution for running different R versions)
It's been some time since I used rJava, and it was on Windows, but I have some notes which may help you:
Make sure that the JRI native library is in a directory listed in java.library.path
(also confirmed using Process Explorer that jri.dll is being loaded)
The R process loads up jvm.dll when you do library(rJava)
Replace jvm.dll iny my notes above with libjvm.so in your case, and jri.dll with whatever .so file is relevant to you.