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 rq
tidy(x, se.type = NULL, conf.int = FALSE, conf.level = 0.95, ...)



An rq object returned from quantreg::rq().


Character specifying the method to use to calculate standard errors. Passed to quantreg::summary.rq() se argument. Defaults to "rank" if the sample size is less than 1000, otherwise defaults to "nid".


Logical indicating whether or not to include a confidence interval in the tidied output. Defaults to FALSE.


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.rq().


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.

See also


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.