plot.rqs: Visualizing sequences of quantile regressions

In quantreg: Quantile Regression

Visualizing sequences of quantile regressions

Description

A sequence of coefficient estimates for quantile regressions with varying tau parameters is visualized.

Usage

## S3 method for class 'rqs'
plot(x, parm = NULL, ols = TRUE,
  mfrow = NULL, mar = NULL, ylim = NULL, main = NULL, col = 1:2, lty = 1:2,
  cex = 0.5, pch = 20, type = "b", xlab = "", ylab = "", ...)

Arguments

x	an object of class "rqs" as produce by rq (with a vector of tau values).
parm	a specification of which parameters are to be plotted, either a vector of numbers or a vector of names. By default, all parameters are considered.
ols	logical. Should a line for the OLS coefficient (as estimated by lm) be added?
mfrow, mar, ylim, main	graphical parameters. Suitable defaults are chosen based on the coefficients to be visualized.
col, lty	graphical parameters. For each parameter, the first element corresponds to the rq coefficients and the second to the lm coefficients.
cex, pch, type, xlab, ylab, ...	further graphical parameters passed.

Details

The plot method for "rqs" objects visualizes the coefficients only, confidence bands can be added by using the plot method for the associated "summary.rqs" object.

Value

A matrix with all coefficients visualized is returned invisibly.

See Also

rq, plot.summary.rqs

Examples

## fit Engel models (in levels) for tau = 0.1, ..., 0.9
data("engel")
fm <- rq(foodexp ~ income, data = engel, tau = 1:9/10)

## visualizations
plot(fm)
plot(fm, parm = 2, mar = c(5.1, 4.1, 2.1, 2.1), main = "", xlab = "tau", 
  ylab = "income coefficient", cex = 1, pch = 19)

quantreg documentation built on Oct. 22, 2024, 5:07 p.m.