qqplot.das {StatDA}R Documentation

QQ plot

Description

A QQ (Quantile-Quantile) plot is produced.

Usage

qqplot.das(x, distribution = "norm", ylab = deparse(substitute(x)), xlab = paste(distribution, "quantiles"), main = "", las = par("las"), datax = FALSE, envelope = 0.95, labels = FALSE, col = palette()[2], lwd = 2, pch = 1, line = c("quartiles", "robust", "none"), cex = 1, xaxt = "s", ...)

Arguments

x numeric vector
distribution name of the comparison distribution
ylab label for the y axis (empirical quantiles)
xlab label for the x axis (comparison quantiles)
main title for the plot
las if 0, ticks labels are drawn parallel to the axis
datax if TRUE, x and y axis are exchanged
envelope confidence level for point-wise confidence envelope, or FALSE for no envelope
labels vector of point labels for interactive point identification, or FALSE for no labels
col, lwd, pch, cex, xaxt graphical parameter, see par
line "quartiles" to pass a line through the quartile-pairs, or "robust" for a robust-regression line. "none" suppresses the line
... further arguments for the probability function

Details

The probability of the input data is computed and with this result the quantiles of the comparison distribution are calculated. If line="quartiles" a line based on quartiles is plotted and if line="robust" a robust LM model is calculated.

Author(s)

Peter Filzmoser <P.Filzmoser@tuwien.ac.at> http://www.statistik.tuwien.ac.at/public/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.

See Also

par

Examples

data(AuNEW)
qqplot.das(AuNEW,distribution="lnorm",col=1,envelope=FALSE,datax=TRUE,ylab="Au",
xlab="Quantiles of lognormal distribution", main="",line="none",pch=3,cex=0.7)

[Package StatDA version 1.1 Index]