rg.boxplot {StatDA} | R Documentation

## Plot a Boxplot

### Description

Plot a single horizontal boxplot, the default is a Tukey boxplot.

### Usage

    rg.boxplot(xx, xlab = deparse(substitute(xx)), log = FALSE, ifbw = FALSE,
    wend = 0.05, xlim = NULL, main = " ", colr = 5, ...)

### Arguments

`xx` | data
`xlab` | label for the x-axis
`log` | if TRUE, a log-scaled plot and a logtransformation of the data
`ifbw` | if TRUE, a IDEAS style box-and-whisker plot is produced
`wend` | defines the end of the whisker, default is 5% and 95% quantile
`xlim` | setting xlim results in outliers not being plotted as the x-axis is shortened.
`main` | main title of the plot
`colr` | the box is infilled with a yellow ochre; if no colour is required set colr=0
`...` | further graphical parameters for the plot

### Details

As the x-axis is shortend by setting xlim, however, the statistics used to define the boxplot, or box-and-whisker plot, are still based on the total data set. To plot a truncated data set create a subset first, or use the x[x<some.value] construct in the call.

### 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.

### Examples

    data(chorizon)
    Ba=chorizon[,"Ba"]
    rg.boxplot(Ba,ifbw=TRUE,colr=0,xlab="Ba [mg/kg]",cex.lab=1.2)

[Package StatDA version 1.0 Index]