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>

### References

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

### 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 1.0 Index]