Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
# S3 method for rq tidy(x, se.type = NULL, conf.int = FALSE, conf.level = 0.95, ...)
x | An |
---|---|
se.type | Character specifying the method to use to calculate
standard errors. Passed to |
conf.int | Logical indicating whether or not to include a confidence
interval in the tidied output. Defaults to |
conf.level | The confidence level to use for the confidence interval
if |
... | Additional arguments passed to |
If se.type = "rank"
confidence intervals are calculated by
summary.rq
and statistic
and p.value
values are not returned.
When only a single predictor is included in the model,
no confidence intervals are calculated and the confidence limits are
set to NA.
Other quantreg tidiers:
augment.nlrq()
,
augment.rqs()
,
augment.rq()
,
glance.nlrq()
,
glance.rq()
,
tidy.nlrq()
,
tidy.rqs()
A tibble::tibble()
with columns:
Upper bound on the confidence interval for the estimate.
Lower bound on the confidence interval for the estimate.
The estimated value of the regression term.
The two-sided p-value associated with the observed statistic.
The value of a T-statistic to use in a hypothesis that the regression term is non-zero.
The standard error of the regression term.
The name of the regression term.