qpplot.das: QP plot In StatDA: Statistical Analysis for Environmental Data

 qpplot.das 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.

Value

No return value, creates a plot.

Author(s)

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

`plot`, `par`, `plot.default`
``````data(AuNEW)