plot.ctqr: Plot Quantile Regression Coefficients

In ctqr: Censored and Truncated Quantile Regression

Plot Quantile Regression Coefficients

Description

Plots quantile regression coefficients \beta(p) as a function of p, based on a fitted model of class “ctqr”.

Usage

## S3 method for class 'ctqr'
plot(x, which = NULL, ask = TRUE, ...)

Arguments

x	an object of class “ctqr”.
which	an optional numerical vector indicating which coefficient(s) to plot. If which = NULL, all coefficients are plotted.
ask	logical. If which = NULL and ask = TRUE (the default), you will be asked interactively which coefficients to plot.
...	additional graphical parameters, that can include xlim, ylim, xlab, ylab, col, lwd. See par.

Details

With this command, a plot of \beta(p) versus p is created, provided that at least two quantiles have been estimated. Dashed lines represent 95% confidence intervals, while the horizontal dotted line indicates the zero.

Author(s)

Paolo Frumento [e-mail]

See Also

ctqr

Examples

  
  # using simulated data
  
  n <- 1000
  x <- runif(n)
  t <- 1 + x + rexp(n)
  c <- runif(n, 1,10)
  y <- pmin(c,t)
  d <- (t <= c)
  
  par(mfrow = c(1,2))
  plot(ctqr(Surv(y,d) ~ x, p = seq(0.05,0.95,0.05)), ask = FALSE) 

ctqr documentation built on June 22, 2024, 12:24 p.m.