model_plot: Graph a model function
In LSTbook: Data and Software for "Lessons in Statistical Thinking"

model_plot

R Documentation

Graph a model function

Description

Every model has an implicit function whose output is the response variable and which has one or more explanatory variables. (Exceptionally, there might be no explanatory variables as in response ~ 1.) One of the explanatory variables can be mapped to the horizontal axis; this can be either quantitative or categorical. The remaining explanatory variables will be mapped to color, facet-horizontal, and facet-vertical. For visual clarity, any quantitative variables among these remaining variables must be coerced to categorical, corresponding to a discrete set of colors and a discrete set of facets.

Usage

model_plot(
  mod,
  nlevels = 3,
  interval = c("confidence", "prediction", "none"),
  level = 0.95,
  palette = LETTERS[1:8],
  model_ink = 0.7
)

Arguments

`mod`	A model object, made with `model_train()`, `lm()`, or `glm()`
`nlevels`	Integer. When quantitative variables need to be converted to factors for color or facetting, how many levels in those factors.
`interval`	The type of interval to draw (default: confidence)
`level`	The confidence or prediction level for the interval
`palette`	One of "A" through "F" giving some control for people who don't like or can't see the default palette
`model_ink`	The density of ink used to draw the model. ("alpha" for those in the know.)