tidy.glmRob {broom} | R Documentation |
This method wraps tidy.lm()
.
## S3 method for class 'glmRob' tidy(x, ...)
x |
A |
... |
Arguments passed on to
|
For tidiers for robust models from the MASS package see
tidy.rlm()
.
A tibble::tibble()
with one row for each term in the
regression. The tibble has columns:
term |
The name of the regression term. |
estimate |
The estimated value of the regression term. |
std.error |
The standard error of the regression term. |
statistic |
The value of a statistic, almost always a T-statistic, to use in a hypothesis that the regression term is non-zero. |
p.value |
The two-sided p-value associated with the observed statistic. |
conf.low |
The low end of a confidence interval for the regression
term. Included only if |
conf.high |
The high end of a confidence interval for the regression
term. Included only if |
If the linear model is an mlm
object (multiple linear model),
there is an additional column:
response |
Which response column the coefficients correspond to (typically Y1, Y2, etc) |
Other robust tidiers: augment.glmRob
,
augment.lmRob
, glance.glmRob
,
glance.lmRob
, tidy.lmRob
library(robust) m <- lmRob(mpg ~ wt, data = mtcars) tidy(m) augment(m) glance(m) gm <- glmRob(am ~ wt, data = mtcars, family = "binomial") glance(gm)