rSalvador

An R Tool for the Luria-Delbruck Fluctuation Assay

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Project maintained by eeeeeric Hosted on GitHub Pages — Theme by mattgraham

rSalvador

Technical details are given in Zheng (2017).

webSalvador

📣 For those who prefer the convenience of a web tool, webSalvador is a new app powered by rSalvador: ➡️ webSalvador

Installation and Usage

Follow the guide for installation instructions and a basic tutorial.

Download builds for

• Windows
• macOS
• Linux

The rSalvador manual is also available.

The example files mentioned in the guide: example1.txt and example2.xlsx.

Installing from GitHub

• Download and install R 3.6.1.
• 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")

For Python 3 users

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

Estimating rates of non-neutral mutations

• kessler.py
• stable_likely.py
• confint.py
• simuKessler.py
• meander.py
• naive.py

A special type of the Luria-Delbruck distribution

• bruno.py
• cauchy.py
• example_compare.py
• example1.py
• example2.py
• gasch_confint.py
• gasch_likely.py
• gasch_testing.py
• levine.py
• limiting.py
• simplest.py

Author

Qi Zheng