plot.interpret: Plot regularized model coefficients

In healthcareai: Tools for Healthcare Machine Learning

Plot regularized model coefficients

Description

Plot regularized model coefficients

Usage

## S3 method for class 'interpret'
plot(
  x,
  include_intercept = FALSE,
  max_char = 40,
  title,
  caption,
  font_size = 11,
  point_size = 3,
  print = TRUE,
  ...
)

Arguments

x	A interpret object or a data frame with columns "variable" and "coefficient"
include_intercept	If FALSE (default) the intercept estimate will not be plotted
max_char	Maximum length of variable names to leave untruncated. Default = 40; use Inf to prevent truncation. Variable names longer than this will be truncated to leave the beginning and end of each variable name, bridged by " ... ".
title	Plot title. NULL for no title; character for custom title. If left blank contains the model class and outcome variable
caption	Plot caption, appears in lower-right. NULL for no caption; character for custom caption. If left blank the caption will contain info including the hyperparameter values of the model used by interpret to determine coefficient estimates.
font_size	Relative size of all fonts in plot, default = 11
point_size	Size of dots, default = 3
print	Print the plot? Default = TRUE
...	Unused

Value

A ggplot object, invisibly.

See Also

interpret

Examples

machine_learn(mtcars, outcome = mpg, models = "glm", tune = FALSE) %>%
  interpret() %>%
  plot(font_size = 14)

healthcareai documentation built on Sept. 5, 2022, 5:12 p.m.