plotRFImp: Plot random forest important features

In microresearcher/MicroVis: Microbiome Analysis and Visualization

Plot random forest important features

Description

Plot random forest important features

Usage

plotRFImp(
  dataset = NULL,
  factor = NULL,
  hideShadow = T,
  confirmedOnly = F,
  top = 15,
  max_runs = 100,
  roughfix = F,
  alpha = 0.01
)

Arguments

dataset	MicroVis dataset. Defaults to the active dataset
factor	Factor to analyze by
hideShadow	Hide Boruta shadow features? Defaults to TRUE
confirmedOnly	Only plot confirmed features? Defaults to FALSE
top	How many top features to show. Defaults to 15
max_runs	Max Boruta runs. Defaults to 100
roughfix	Roughfix indeterminate Boruta features? Defaults to FALSE
alpha	Significance threshold. Defaults to 0,01

Value

Plot of important features determined by the Boruta algorithm on a random forest model

microresearcher/MicroVis documentation built on Feb. 8, 2024, 10:59 a.m.