plot.mnl {radiant.model}

Plot method for the mnl function

Description

Plot method for the mnl function

Usage

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

Arguments

x

Return value from mnl

plots

Plots to produce for the specified MNL 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

conf_lev

Confidence level to use for coefficient and relative risk ratios (RRRs) intervals (.95 is the default)

intercept

Include the intercept in the coefficient plot (TRUE or FALSE). FALSE is the default

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/mnl.html for an example in Radiant

See Also

mnl to generate results

predict.mnl to generate predictions

plot.model.predict to plot prediction output

Examples

result <- mnl(
  ketchup,
  rvar = "choice",
  evar = c("price.heinz28", "price.heinz32", "price.heinz41", "price.hunts32"),
  lev = "heinz28"
)
plot(result, plots = "coef")