augment_columns: Add fitted values, residuals, and other common outputs to an...

In broom: Convert Statistical Objects into Tidy Tibbles

Add fitted values, residuals, and other common outputs to an augment call

Description

augment_columns is intended for use in the internals of augment methods only and is exported for developers extending the broom package. Please instead use augment() to appropriately make use of the functionality in augment_columns().

Usage

augment_columns(
  x,
  data,
  newdata = NULL,
  type,
  type.predict = type,
  type.residuals = type,
  se.fit = TRUE,
  ...
)

Arguments

x	a model
data	original data onto which columns should be added
newdata	new data to predict on, optional
type	Type of prediction and residuals to compute
type.predict	Type of prediction to compute; by default same as type
type.residuals	Type of residuals to compute; by default same as type
se.fit	Value to pass to predict's se.fit, or NULL for no value. Ignored for model types that do not accept an se.fit argument
...	extra arguments (not used)

Details

Note that, in the case that a residuals() or influence() generic is not implemented for the supplied model x, the function will fail quietly.

broom documentation built on Sept. 30, 2024, 9:29 a.m.