qpplot.das {StatDA}R Documentation

QP plot

Description

This function produces a QP (Quantile-Probability) plot of the data.

Usage

qpplot.das(x, qdist = qnorm, probs = NULL, logx = FALSE, cex.lab = 1,
xlab = NULL, ylab = "Probability [%]", line = TRUE, lwd = 2, pch = 3,
logfinetick = c(10), logfinelab = c(10), cex = 0.7, xlim = NULL,
ylim = NULL, gridy = TRUE, add.plot = FALSE, col = 1, ...)

Arguments

x data
qdist The probability function with which the data should be compared.
probs The selected probabilities, see details
logx if TRUE, then log scale on x-axis is used
cex.lab The size of the label
xlab title for x-axis
ylab title for y-axis
line if TRUE the line will be drawn
lwd the width of the line
pch, cex, col graphical parameter
logfinetick how fine are the tick marks on log-scale on x-axis
logfinelab how fine are the labels on log-scale on x-axis
xlim the range for the x-axis
ylim the range for the y-axis
gridy if grid along y-axis should be drawn
add.plot if TRUE the new plot is added to an old one
... futher arguments for the probability function

Details

First the probability of the sorted input x is computed and than the selected quantiles are calculated and after that plot is produced. If probs=NULL then the 1%, 5%, 10%, 20%,...., 90%, 95% and 99% quantile is taken.

Author(s)

Peter Filzmoser <P.Filzmoser@tuwien.ac.at> http://www.statistik.tuwien.ac.at/public/filz/

References

C. Reimann, P. Filzmoser, R.G. Garrett, and R. Dutter: Statistical Data Analysis Explained. Applied Environmental Statistics with R. John Wiley and Sons, Chichester, 2008.

See Also

plot, par, plot.default

Examples

data(AuNEW)
qpplot.das(AuNEW,qdist=qlnorm,xlab="Au",
ylab="Probabilities of lognormal distribution", pch=3,cex=0.7)

[Package StatDA version 1.1 Index]