plot_imp

object of class <code>c("importance", "data.frame")</code> as returned by
<code><a rd-options="" href="/link/variable_importance?package=edarf&version=1.1.0" data-mini-rdoc="edarf::variable_importance">variable_importance</a></code>

character indicating if sorting of the output is to be done.
can be "ascending", or "descending."

sort


Plot variable importance from random forests


Functions useful for exploratory data analysis
using random forests which can be used to compute multivariate partial
dependence, observation, class, and variable-wise marginal and joint permutation
importance as well as observation-specific measures of distance
(supervised or unsupervised). All of the aforementioned functions are
accompanied by 'ggplot2' plotting functions.

Zachary Jones

edarf

Exploratory Data Analysis using Random Forests

plot_imp function

object of class <code>c("importance", "data.frame")</code> as returned by
<code><a rd-options='' href='variable_importance'>variable_importance</a></code>

plot_imp: Plot variable importance from random forests

Description

Usage

Arguments

Value

Examples