generate_pi_ECDF_plot: Generate ECDF Plot

In tkolisnik/Rf2pval: A comprehensive approach to genomic analysis using scikit-learn's Random Forest models and rank-based feature reduction in R

Generate ECDF Plot

Description

Creates a plot of the empirical cumulative density function showing the sum of absolute deviations by fraction of data.

Usage

generate_pi_ECDF_plot(permutedvalues, quantiledata)

Arguments

permutedvalues	a tibble of feature ranks, feature names, feature importance scores, log feature importance scores and permutation # generated by the load_permuted_fws function
quantiledata	a tibble containing: feature ranks, mean, lower, upper, and observed as well as logmean, loglower, logupper, logobserved generated by the calculateQuantiles function

Value

A plot of the empirical cumulative density function showing the sum of absolute deviations by fraction of data.

Examples

ecdf_plot<-generate_pi_ECDF_plot(feat_importances$permuted_importances, quantile_data)

tkolisnik/Rf2pval documentation built on Feb. 20, 2024, 5:39 a.m.