plot.model.predict {radiant.model} | R Documentation |
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")
[Package radiant.model version 1.6.6 Index]