ranged_class_reduction: Compilation of a non-redundant dataset based on classes

In narodkebabci/gRoR: Compilation of an unbiased mutation dataset

Description

This function filters the dataset based on class labels, secondary structure, and relative ASA of the mutations. This function takes four inputs: the data frame to reduce, class labels, experimental DDG values, and the specified difference between intervals in kcal/mol. Secondary structure and relative ASA of the mutations are also applicable for reduction.

Usage

ranged_class_reduction(data, classes, DDG, r, SS = NULL, ASA = NULL)

Arguments

data	A redundant dataset of mutations
classes	Column name of labels
DDG	Column name of Experimental DDG values
r	difference between each interval
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

Value

A list of reduced dataset and a box plot

Examples

ranged_class_reduction(data = df, classes = "Classes",
                       DDG = "Experimental", r = 2)
ranged_class_reduction(data = df, classes = "Classes",
                       DDG = "Experimental", r = 2, SS = "SStructure")
ranged_class_reduction(data = df, classes = "Classes",
                       DDG = "Experimental", r = 2, ASA = "ASA")

narodkebabci/gRoR documentation built on Jan. 18, 2022, 10:09 p.m.