R

R comes with a very large number of packages, many of which available through nixpkgs. In particular, any package available through CRAN.

Similarly to Python, your packages must be declared when installing R. Commands such as install.packages("ggplot2") will not work.

To install R with a collection of packages, a new nix package must be defined, for instance

with pkgs;
let
  R-with-my-packages = rWrapper.override{ packages = with rPackages; [ ggplot2 dplyr xts ]; };
in ...

and then you can put R-with-my-packages into your environment.systemPackages for a system-wide installation, for instance.

In practice, R is commonly written inside editors like RStudio or inside a Jupyter Notebook.

RStudio

RStudio uses a standard set of packages and ignores any custom R environments, like the one set up above. To install it you can use rstudioWrapper just as we used rWrapper earlier.

RStudio-with-my-packages = rstudioWrapper.override{ packages = with rPackages; [ ggplot2 dplyr xts ]; };

Jupyter Notebook

There is currently no package in nixpkgs to set up Jupyter Notebook with additional kernels. (Keep an eye on this this pull request though).

For now, you can save the following into a file and run it with nix-shell:

with import <nixpkgs> {};
let 
my-R-packages = with rPackages; [ ggplot2 dplyr xts ];
R-with-my-packages = rWrapper.override{ packages = with rPackages; my-R-packages ++ [ JuniperKernel ]; };
jupyter-R-kernel = stdenv.mkDerivation {
  name = "jupyter-R-kernel";
  buildInputs = [ pythonPackages.notebook R-with-my-packages ];
  unpackPhase = ":";
  installPhase = ''
    export HOME=$TMP
    ${R-with-my-packages}/bin/R --slave -e "JuniperKernel::installJuniper(prefix='$out')"
  '';
};
in
mkShell rec {
  name = "jupyter-with-R-kernel";
  buildInputs = [ jupyter-R-kernel ];
  shellHook = ''
    export JUPYTER_PATH=${jupyter-R-kernel}/share/jupyter
    # see https://github.com/NixOS/nixpkgs/issues/38733
    ${R-with-my-packages}/bin/R --slave -e "system2('jupyter', 'notebook')"
  '';
}