QP plot
This function produces a QP (Quantile-Probability) plot of the data.
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, ...)
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 |
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.
Peter Filzmoser <P.Filzmoser@tuwien.ac.at> http://cstat.tuwien.ac.at/filz/
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.
data(AuNEW) qpplot.das(AuNEW,qdist=qlnorm,xlab="Au", ylab="Probabilities of lognormal distribution", pch=3,cex=0.7)
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