pdp_plot: Create Partial Dependence Plots

In radiant-rstats/radiant.model: Model Menu for Radiant: Business Analytics using R and Shiny

Create Partial Dependence Plots

Description

Create Partial Dependence Plots

Usage

pdp_plot(
  x,
  plot_list = list(),
  incl,
  incl_int,
  fix = TRUE,
  hline = TRUE,
  nr = 20,
  minq = 0.025,
  maxq = 0.975
)

Arguments

x	Return value from a model
plot_list	List used to store plots
incl	Which variables to include in PDP plots
incl_int	Which interactions to investigate in PDP plots
fix	Set the desired limited on yhat or have it calculated automatically. Set to FALSE to have y-axis limits set by ggplot2 for each plot
hline	Add a horizontal line at the average of the target variable. When set to FALSE no line is added. When set to a specific number, the horizontal line will be added at that value
nr	Number of values to use to generate predictions for a numeric explanatory variable
minq	Quantile to use for the minimum value for simulation of numeric variables
maxq	Quantile to use for the maximum value for simulation of numeric variables

radiant-rstats/radiant.model documentation built on Nov. 29, 2023, 5:59 a.m.