plot.model.predict: Plot method for model.predict functions

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

Plot method for model.predict functions

Description

Plot method for model.predict functions

Usage

## S3 method for class 'model.predict'
plot(
  x,
  xvar = "",
  facet_row = ".",
  facet_col = ".",
  color = "none",
  conf_lev = 0.95,
  ...
)

Arguments

x	Return value from predict functions (e.g., predict.regress)
xvar	Variable to display along the X-axis of the plot
facet_row	Create vertically arranged subplots for each level of the selected factor variable
facet_col	Create horizontally arranged subplots for each level of the selected factor variable
color	Adds color to a scatter plot to generate a heat map. For a line plot one line is created for each group and each is assigned a different color
conf_lev	Confidence level to use for prediction intervals (.95 is the default)
...	further arguments passed to or from other methods

See Also

predict.regress to generate predictions

predict.logistic to generate predictions

Examples

regress(diamonds, "price", c("carat", "clarity")) %>%
  predict(pred_cmd = "carat = 1:10") %>%
  plot(xvar = "carat")
logistic(titanic, "survived", c("pclass", "sex", "age"), lev = "Yes") %>%
  predict(pred_cmd = c("pclass = levels(pclass)", "sex = levels(sex)", "age = 0:100")) %>%
  plot(xvar = "age", color = "sex", facet_col = "pclass")

radiant-rstats/radiant.model documentation built on Nov. 29, 2023, 5:59 a.m.