plot.qlss: Quantile-based Summary Statistics for Location, Scale and...
In Qtools: Utilities for Quantiles

Description Usage Arguments Author(s) See Also Examples

This function plots location, scale and shape of a conditional distribution.

1 2	## S3 method for class 'qlss' plot(x, z, which = 1, ci = FALSE, level = 0.95, type = "l", ...)

`x`	an object of class `qlss` as returned by `qlss.formula`.
`z`	numeric vector.
`which`	when `probs` in `qlss` is a vector, the argument `which` specifies which element of the vector should be used for plotting.
`ci`	logical flag. If `TRUE`, bootstrapped confidence intervals for the predictions are plotted.
`level`	if `ci = TRUE`, point-wise confidence intervals of a given `level` are plotted.
`type`	1-character string giving the type of plot desired. See `plot.default`.
`...`	other arguments for `plot.default`.

Marco Geraci

qlss

trees2 <- trees[order(trees$Height),]
fit <- qlss(Volume ~ Height, data = trees2, probs = c(.05, .1))
# Plot the results for probs = 0.1
plot(fit, z = trees2$Height, which = 2, xlab = "height")