Add fitted values, residuals, and other common outputs to an augment call
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, ... )
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.residuals |
Type of residuals to compute; by default
same as |
se.fit |
Value to pass to predict's |
... |
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.
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