tidypredict_to_column: Adds the prediction columns to a piped command set.

In tidypredict: Run Predictions Inside the Database

Adds the prediction columns to a piped command set.

Description

Adds a new column with the results from tidypredict_fit() to a piped command set. If add_interval is set to TRUE, it will add two additional columns- one for the lower and another for the upper prediction interval bounds.

Usage

tidypredict_to_column(
  df,
  model,
  add_interval = FALSE,
  interval = 0.95,
  vars = c("fit", "upper", "lower")
)

Arguments

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. Ignored if add_interval is set to FALSE
vars	The name of the variables that this function will produce. Defaults to "fit", "upper", and "lower".

Value

The input data frame with one new column (the fit) added, or three new columns (fit, upper and lower bounds) when add_interval is TRUE.

Examples

model <- lm(mpg ~ wt, data = mtcars)
tidypredict_to_column(mtcars, model)

tidypredict documentation built on Oct. 18, 2026, 5:06 p.m.