I am not able to get rstudio into my anaconda base environment. I have tried installing it from the GUI and from the command line. In the GUI it just says that it is installing and either A) crashes, or B) stays on the installing screen forever.
I am using the following code in the base env.
conda install rstudio
System: Ubuntu 19.10 on vitualboxVM with a mac os mojave host.
Also, It is trying to install pypq, is this the problem? This doesn't seem like a package I need for my R scripts, do popular R packages depend on it? If not, can I tell anaconda just to skip installing it?
The terminal log is very long so I attached the image instead of copying the code:
UPDATE: I can install in another env, but not base.
Yes, that's it. For some reason you cannot install R Studio in the base environment but you're obliged to create a specific R environment to install it.
Related
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've checked all the resources and tutorials from the internet and it seems all are requiring to install Anaconda just to build the R kernel.
Is there a way to add R kernel to my jupyter notebook without installing Anaconda? If so, how?
Thanks!
I've solved my problem, by installing R into my machine. Upon installing, run the application and I follow this tutorial, by just copying the stated command.
Here's the link for the installation of native R.
I have been using ipython notebook to run some R scripts. Now the problem is I have two R versions on my Ubuntu 14.04.
One is R.3.2.2 at /home/MYNAME/anaconda2/bin/R, another one is the R which I need for R studio,
now the problem is I want to only use R.3.3.1 for my system as I need some advanced task to be done.
I use conda uninstall r, after running this, according to the print out, a lot of R related packages is removed, if i run conda uninstall r again, it said
Fetching package metadata .......
Using Anaconda Cloud api site https://api.anaconda.org
Solving package specifications: ..........
Error: no packages found to remove from environment: /home/MyName/anaconda2
but when I run Which R again, still it is the anaconda R, if I run R in the terminal, it is still R3.2.2, anyone knows how could I remove this anaconda R version?
You probably needed to run hash -r in your session (or rehash if using zsh) to update your executables on PATH for the which command. A new terminal session would also fix the problem.
you can try conda uninstall r-base, this will remove R and all of the R-library.
The questions also implies that one cannot use anaconda R with rstudio.
On Linux you can
export RSTUDIO_WHICH_R=/home/USER/anaconda3/bin/R
and add to .profile (d/o your distro) to use rstudio with anaconda R and packages
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/
After installing Mavericks on my Mac, I'm not able to run Rattle anymore.
Because of compatibility issues between RStudio and 10.9 (http://www.r-bloggers.com/rstudio-and-os-x-10-9-mavericks/), I installed v 0.98.433 of RStudio and R 3.0.2
Tried to launch Rattle the normal way: none.
I tried in a different way:
I manually launched xQuartz to install GTK+
via R-Studio I installed RGtg2 and Cairo
Installed Rattle, launched it and I got 1 sec message from Rattle, before it disappeared, crashing R session.
I then tried going back to R 2.15.3 (using RSwitch), doing same procedure.
Rattle starts with no ricognizable character and a bunch of related error messages on the RStudio console, from Pango.
Problem is it is looking for a directory .../pango/1.6.0 that does not exist (I have /1.8.0).
Is there any one who came out with a working combination of R/RStudio/Rattle on Mavericks?
I have a course I'm going to teach on data mining next semester and I introduced Rattle as the core tool, but I need it running.
Going back to previous Mac OS is not an option, because students may have the latest version.
Any help would be highly appreciated
I believe that the problem is with the GTK2 and Cairo modules. After building a few packages from source, rattle works for me...
I have had difficulties with Cairo/GTK2 since Mountain Lion. I got crashes using Simon's binary packages for these. Note that I updated my system to Mavericks, so I have not tried this on a clean install... I also have Homebrew installed for building programs from source. I use the ATT binary installer for R (thanks, Simon) for most packages but build a few packages from source. There were some hiccups and I spent a lot of time searching with Google. Here is what I did:
One needs XCode and the Xcode command line tools installed. After you install XCode, you need to run
sudo xcode-select --install
to install the command line tools. Then install Homebrew according to directions from the web site... Install gtk+ and cairo with their dependencies with:
brew install gtk+ cairo
And wait quite a while for everything to build....
The first problem I had is that I couldn't build any R packages from source because of this error:
make: llvm-gcc-4.2: No such file or directory
Google to the rescue...
I needed to change two lines in Makeconf in /Library/Frameworks/R.framework/Resources/etc to
CC=clang
CXX=clang++
Note: the R Mac Tools page now says this should be:
CC=/usr/local/clang4/bin/clang
CXX=/usr/local/clang4/bin/clang++
LDFLAGS=-L/usr/local/clang4/lib
Then download the source packages for RGtk2, Cairo, and cairoDevice. I do all the work in my ~/bld directory with:
cd ~/bld
export PKG_CONFIG_PATH=/opt/X11/lib/pkgconfig:/Library/Frameworks/GTK+.framework/Versions/Current/Resources/lib/pkgconfig:$PKG_CONFIG_PATH
R CMD install RGtk2_2.20.25.tar.gz
R CMD install Cairo_1.5-2.tar.gz
R CMD install cairoDevice_2.19.tar.gz
Hope this helps.