StatDA (version 1.5)

qpplot.das: 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.

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)