Here we also have to specify the R version we are running and the location of the install. Which can be fixed by (see this ticket): > options(unzip = "internal") Installation failed: error in running command This often results in the following error: Downloading GitHub repo URL
Conda install package inequality version install#
From there you can activate the my-cool-project environment and then pip install or conda. If you want a different version, like Python 3.6, just swap in python3.6. > devtools::install_github("duckmayr/oldr") For example, to create a fresh conda environment called my-cool-project with Python 3.7 and its own pip, run the following: conda create -name my-cool-project python3.7 pip. To get around this we will install oldr for installing packages compatible with R v3.4.įirst we install the R package devtools: > conda install -c r r-devtoolsĪnd then inside R we install oldr: > require(devtools)
Package ‘effects’ is not available (for R version 3.4.1) Some packages won’t be available for v3.4.1, for example the effects package: > install.packages("effects") Incompatible packages with our current R version Next, the Native R kernel for Jupyter is installed with: > conda install -c r r-irkernel
Conda install package inequality version update#
This can be fixed with an update to the readline package (see this ticket for more info): > conda install -c conda-forge readline=6.2 anaconda/envs/myRenv3_4/lib/R/bin/exec/R: symbol lookup error: /anaconda/envs/myRenv3_4/lib/R/bin/exec/././lib/././libreadline.so.6: undefined symbol: PC When we open R we should see the following: > Rīut on some installs I’ve seen the following error: > R To confirm that this installed properly (you might have to source deactivate and source activate to get : > which R One can also try installed with -c r instead of conda-forge but I’ve found that not all versions are available via r. Now that we’ve confirmed the package/version we want is available we R v3.4.1 with the following: > conda install -c conda-forge r=3.4.1 Because conda’s search will match any packages that contain our search term as a substring (in our case the letter “r”) we search instead for “r-base”: > conda search r-base Next we search for the R version we want to install.
Note that R is not installed by default inside the environment: > which R To confirm we have this running properly we can ask where the pip command will run from (hopefully it is tied to a location inside our environment): > which pip Installing Rįirst we create a new environment: > conda create -n myRenv3_4 anacondaĪnd then switch to the new environment with: > source activate myRenv3_4 We assume you have anaconda installed and are somewhat familiar with it’s commands. This will walk you through installed an old version (3.4.1) of R inside a conda environment.
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