plot.logistic: Plot method for the logistic function

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

Plot method for the logistic function

Description

Plot method for the logistic function

Usage

## S3 method for class 'logistic'
plot(
  x,
  plots = "coef",
  conf_lev = 0.95,
  intercept = FALSE,
  incl = NULL,
  excl = NULL,
  incl_int = NULL,
  nrobs = -1,
  shiny = FALSE,
  custom = FALSE,
  ...
)

Arguments

x	Return value from logistic
plots	Plots to produce for the specified GLM model. Use "" to avoid showing any plots (default). "dist" shows histograms (or frequency bar plots) of all variables in the model. "scatter" shows scatter plots (or box plots for factors) for the response variable with each explanatory variable. "coef" provides a coefficient plot and "influence" shows (potentially) influential observations
conf_lev	Confidence level to use for coefficient and odds confidence intervals (.95 is the default)
intercept	Include the intercept in the coefficient plot (TRUE or FALSE). FALSE is the default
incl	Which variables to include in a coefficient plot
excl	Which variables to exclude in a coefficient plot
incl_int	Which interactions to investigate in PDP plots
nrobs	Number of data points to show in scatter plots (-1 for all)
shiny	Did the function call originate inside a shiny app
custom	Logical (TRUE, FALSE) to indicate if ggplot object (or list of ggplot objects) should be returned. This option can be used to customize plots (e.g., add a title, change x and y labels, etc.). See examples and https://ggplot2.tidyverse.org for options.
...	further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/model/logistic.html for an example in Radiant

See Also

logistic to generate results

plot.logistic to plot results

predict.logistic to generate predictions

plot.model.predict to plot prediction output

Examples

result <- logistic(titanic, "survived", c("pclass", "sex"), lev = "Yes")
plot(result, plots = "coef")

radiant.model documentation built on Oct. 16, 2023, 9:06 a.m.