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 = FALSE, conf.level = 0.95, ...)
Character specifying the method to use to calculate
standard errors. Passed to
Logical indicating whether or not to include a confidence
interval in the tidied output. Defaults to
The confidence level to use for the confidence interval
Additional arguments passed to
quantile column indicating with quantile the
coefficient corresponds to.
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.
tibble::tibble() with columns:
The upper end of a confidence interval for the term under consideration. Included only if `conf.int = TRUE`.
The lower end of a confidence interval for the term under consideration. Included only if `conf.int = TRUE`.
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.