duplet_reduction: Compilation of a non-redundant dataset based on duplets
In narodkebabci/gRoR: Compilation of an unbiased mutation dataset

Description Usage Arguments Value Examples

View source: R/duplet_reduction.R

This function takes the data frame, duplet labels, experimental DDG values, and the mutations' biochemical features. With this function, the dataset can be filtered based on duplets, secondary structure, and relative ASA of the mutations.

1	duplet_reduction(data, duplets, DDG, SS = NULL, ASA = NULL)

`data`	A redundant dataset of mutations
`duplets`	Column name of Duplets
`DDG`	Column name of Experimental DDG values
`SS`	Default is Null. Specify the column name that contains secondary structure information
`ASA`	Default is Null. Specify the column name that contains relative ASA information

A list of reduced dataset and a box plot

1 2	duplet_reduction(data = df, duplets = "Duplets", DDG = "Experimental") duplet_reduction(data = df, duplets = "Duplets", DDG = "Experimental", SS = "SStructure")