rSalvador

rSalvador: An R Tool for the Luria-Delbruck Fluctuation Assay

📣 For those who prefer the convenience of a web tool, webSalvador is a new app powered by rSalvador: https://websalvador.eeeeeric.com/

Installing from GitHub

Download and install R 3.6.1 or later.
Install Rtools 3.5 by downloading and executing the file Rtools35.exe.
Launch R.
Install the R package devtools by executing the following command from within R. install.packages('devtools')
Execute the following devtools command from within R. devtools::install_github("eeeeeric/rSalvador", subdir = "rsalvador")

Installing from prebuilt packages

R CMD INSTALL <package> where <package> is the appropriate download from the release page.

These releases are built using GitHub Actions.

Installing from source

R CMD check rsalvador
R CMD INSTALL rsalvador

For Python 3 users

Some frequently used rSalvador functions are also available in pySalvador for Python users (source, Jupyter manual).

Building on Windows - Environment Preparation

Download and install R, rtools, Strawberry Perl, and MiKTeX. Strawberry Perl, MiKTeX, and rtools will automatically add themselves to the PATH, but you will need to add R manually. Note that MiKTeX is only necessary if you wish to build documentation,

Open a R prompt, and install the hypergeo and gdata packages.

install.packages('hypergeo')
install.packages('gdata')

Now you are ready to build (see below).

Building an installable archive (all platforms)

This will check the source files (requires LaTeX), okay to skip

R CMD check rsalvador

This will produce the archive

R CMD INSTALL --build rsalvador

Author

Qi Zheng