| tidypredict_to_column {tidypredict} | R Documentation |
Adds a new column with the results form tidypredict_fit() to a piped command set. If add_interval is set to TRUE, then it will add two additional columns, one for the lower and another for the upper prediction interval bounds.
tidypredict_to_column(df, model, add_interval = FALSE, interval = 0.95,
vars = c("fit", "upper", "lower"))
df |
A data.frame or tibble |
model |
An R model or a parsed model inside a data frame |
add_interval |
Switch that indicates if the prediction interval columns should be added. Defaults to FALSE |
interval |
The prediction interval, defaults to 0.95. It is ignored if add_interval is set to FALSE |
vars |
The name of the variables that this function will produce. It defaults to "fit", "upper", and "lower". |
library(dplyr)
df <- mutate(mtcars, cyl = paste0("cyl", cyl))
model <- lm(mpg ~ wt + cyl * disp, offset = am, data = df)
df %>%
tidypredict_to_column(model, add_interval = TRUE)