plotdeplot.lmscreg: Density Plot for LMS Quantile Regression

Description

Plots a probability density function associated with a LMS quantile regression.

Usage

plotdeplot.lmscreg(answer, y.arg, add.arg = FALSE, 
    xlab = "", ylab = "density", xlim = NULL, ylim = NULL, 
    llty.arg = par()$lty, col.arg = par()$col, 
    llwd.arg = par()$lwd, ...)

Arguments

answer

Output from functions of the form deplot.??? where ??? is the name of the VGAM LMS family function, e.g., lms.yjn. See below for details.

y.arg

Numerical vector. The values of the response variable at which to evaluate the density. This should be a grid that is fine enough to ensure the plotted curves are smooth.

add.arg

Logical. Add the density to an existing plot?

xlab, ylab

Caption for the x- and y-axes. See par.

xlim, ylim

Limits of the x- and y-axes. See par.

llty.arg

Line type. See the lty argument of par.

col.arg

Line color. See the col argument of par.

llwd.arg

Line width. See the lwd argument of par.

...

Arguments passed into the plot function when setting up the entire plot. Useful arguments here include main and las.

Value

The list answer, which has components
newdataThe argument newdata above from the argument list of deplot.lmscreg, or a one-row data frame constructed out of the x0 argument.
yThe argument y.arg above.
densityVector of the density function values evaluated at y.arg.

Details

The above graphical parameters offer some flexibility when plotting the quantiles.

References

Yee, T. W. (2004) Quantile regression via vector generalized additive models. Statistics in Medicine, 23, 2295--2315.

Documentation accompanying the VGAM package at http://www.stat.auckland.ac.nz/~yee contains further information and examples.

Examples

Run this code

fit = vgam(BMI ~ s(age, df = c(4,2)), fam = lms.bcn(zero = 1), data = bminz)
y = seq(15, 43, by = 0.25)
deplot(fit, x0 = 20, y = y, xlab = "BMI", col = "green", llwd = 2,
       main = "BMI distribution at ages 20 (green), 40 (blue), 60 (orange)")
deplot(fit, x0 = 40, y = y, add = TRUE, col = "blue", llwd = 2)
deplot(fit, x0 = 60, y = y, add = TRUE, col = "orange", llwd = 2) -> aa

names(aa@post$deplot)
aa@post$deplot$newdata
head(aa@post$deplot$y)
head(aa@post$deplot$density)

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