Add fitted values, residuals, and other common outputs to the value returned from augment.

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

...

extra arguments (not used)

Details

In the case that a residuals or influence generic is not implemented for the model, fail quietly.