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, ...)

Value

No return value, creates a plot.

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

Author

Peter Filzmoser <P.Filzmoser@tuwien.ac.at> http://cstat.tuwien.ac.at/filz/

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.

Examples

Run this code

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

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