plot_cforest_bi_perf: plot_cforest_bi_perf

In johnaclouse/eeda: Univariate and bivariate exploratory data analysis, but extra

plot_cforest_bi_perf

Description

Generates a single plot composed of an receiver operator chracteristic sensitivity:specificity plot and partial dependency plot. The output is intended to help characterize the ability of the eda_var to predict the target_var

Usage

plot_cforest_bi_perf(df, eda_var, target_var, width = 200, height = 450)

Arguments

df	data frame
eda_var	character
target_var	character name of column for conditional analysis
width	numeric width of plot in pixels
height	numeric height of plot in pixels

Value

character path to the resulting png file

Examples

## Not run: 
plot_conditional_distribution_by_category(
  df = eeda::eeda_test_data,
  eda_var = "eg_continuous",
  target_var = "target"
)

plot_conditional_distribution_by_category(
  df = eeda::eeda_test_data,
  eda_var = "eg_factor_4_na",
  target_var = "target"
)

## End(Not run)

johnaclouse/eeda documentation built on July 22, 2022, 12:16 a.m.