Tidy a(n) rqs object

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 cross 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 rqs
tidy(x, se.type = "rank", conf.int = TRUE,
  conf.level = 0.95, ...)

Arguments

x	An rqs object returned from quantreg::rq().
se.type	Character specifying the method to use to calculate standard errors. Passed to quantreg::summary.rq() se argument. Defaults to "rank".
conf.int	Logical indicating whether or not to include a confidence interval in the tidied output. Defaults to FALSE.
conf.level	The confidence level to use for the confidence interval if conf.int = TRUE. Must be strictly greater than 0 and less than 1. Defaults to 0.95, which corresponds to a 95 percent confidence interval.
...	Additional arguments passed to quantreg::summary.rqs()

Value

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.int = TRUE.

conf.high

The high end of a confidence interval for the regression term. Included only if conf.int = TRUE.

An additional quantile column indicating with quantile the coefficient corresponds to.

Details

If se.type = "rank" confidence intervals are calculated by summary.rq. When only a single predictor is included in the model, no confidence intervals are calculated and the confidence limits are set to NA.

See also

tidy(), quantreg::rq()

Other quantreg tidiers: augment.nlrq, augment.rqs, augment.rq, glance.nlrq, glance.rq, tidy.nlrq, tidy.rq