# rg.boxplot: Plot a Boxplot In StatDA: Statistical Analysis for Environmental Data

## Description

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

## Usage

 ```1 2``` ```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> 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.

## Examples

 ```1 2 3``` ```data(chorizon) Ba=chorizon[,"Ba"] rg.boxplot(Ba,ifbw=TRUE,colr=0,xlab="Ba [mg/kg]",cex.lab=1.2) ```

### Example output

```Loading required package: geoR
--------------------------------------------------------------
Analysis of Geostatistical Data
For an Introduction to geoR go to http://www.leg.ufpr.br/geoR
geoR version 1.7-5.2.1 (built on 2016-05-02) is now loaded
--------------------------------------------------------------