augment.rlm {broom} | R Documentation |
This augment method wraps augment.lm()
.
## S3 method for class 'rlm' augment(x, ...)
x |
An |
... |
Arguments passed on to
|
When newdata
is not supplied augment.lm
returns
one row for each observation, with seven columns added to the original
data:
.hat |
Diagonal of the hat matrix |
.sigma |
Estimate of residual standard deviation when corresponding observation is dropped from model |
.cooksd |
Cooks distance, |
.fitted |
Fitted values of model |
.se.fit |
Standard errors of fitted values |
.resid |
Residuals |
.std.resid |
Standardised residuals |
Some unusual lm
objects, such as rlm
from MASS, may omit .cooksd
and .std.resid
. gam
from mgcv omits .sigma
.
When newdata
is supplied, returns one row for each observation, with
three columns added to the new data:
.fitted |
Fitted values of model |
.se.fit |
Standard errors of fitted values |
.resid |
Residuals of fitted values on the new data |
Other rlm tidiers:
glance.rlm()
,
tidy.rlm()