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().
augment_columns(
x,
data,
newdata = NULL,
type,
type.predict = type,
type.residuals = type,
se.fit = TRUE,
...
)a model
original data onto which columns should be added
new data to predict on, optional
Type of prediction and residuals to compute
Type of prediction to compute; by default
same as type
Type of residuals to compute; by default
same as type
Value to pass to predict's se.fit, or NULL for
no value
extra arguments (not used)
Note that, in the case that a residuals() or influence() generic is
not implemented for the supplied model x, the function will fail quietly.