R: Difference between revisions
imported>Idontgetoutmuch No edit summary |
imported>Dmvianna direct users of Jupyter to use jupyterWith from tweag |
||
Line 26: | Line 26: | ||
== Jupyter Notebook == | == Jupyter Notebook == | ||
Use [https://github.com/tweag/jupyterWith jupyterWith] | |||
== R with Lorri == | == R with Lorri == |
Revision as of 09:16, 13 August 2020
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.
If you with to use `nix-shell` to generate an on-the-fly environment with some R packages, the command is similar:
nix-shell --packages 'rWrapper.override{packages = [ rPackages.ggplot2 ];}'
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
Use jupyterWith
R with Lorri
An example of a shell.nix for usage with lorri is shown below:
let
pkgs = import <nixpkgs> {};
in
pkgs.mkShell {
buildInputs = with pkgs; [
R
rPackages.rmarkdown
rPackages.knitr
];
}
A note on knitr
To knit a .Rmd file to a pdf (or .Rnw), you need to have included in your envronment pkgs.texlive.combined.scheme-full
as well as pandoc
or it will fail to knit. None of the other texlive packages contain the proper "frame" package. Note there are likely other workarounds but this requires the least effort.
Other Editors
with vim - nvim-r
with emacs - emacs speaks statistics