# boxplotperc: Boxplot based on percentiles In StatDA: Statistical Analysis for Environmental Data

## Description

This function plots a boxplot of the data and the boundaries are based on percentiles.

## Usage

 ```1 2 3 4``` ```boxplotperc(x, ..., quant = c(0.02, 0.98), width = NULL, varwidth = FALSE, notch = FALSE, outline = TRUE, names, plot = TRUE, border = par("fg"), col = NULL, log = "", pars = list(boxwex = 0.8, staplewex = 0.5, outwex = 0.5), horizontal = FALSE, add = FALSE, at = NULL) ```

## Arguments

 `x` data `...` further arguments for creating the list `quant` the underlying percentages `width` a vector giving the relative widths of the boxes making up the plot `varwidth` if varwidth is TRUE, the boxes are drawn with widths proportional to the square-roots of the number of observations in the groups. `notch` if notch is TRUE, a notch is drawn in each side of the boxes `outline` if outliers is FALSE, the outliers are not drawn `names` define the names of the attributes `plot` if plot is TRUE the boxplot is plotted in the current plot `border` character or numeric (vector) which indicates the color of the box borders `col` defines the colour `log` character, indicating if any axis should be drawn in logarithmic scale `pars` some graphical parameters can be specified `horizontal` logical parameter indicating if the boxplots should be horizontal; FALSE means vertical boxes `add` if TRUE the boxplot is added to the current plot `at` numeric vector giving the locations of the boxplots

## Details

The default value for quant is the 2% and 98% quantile and this argument defines the percentiles for the upper and lower whiskers.

## Value

 `stats` a vector of length 5, containing the extreme of the lower whisker, the lower "hinge", the median, the upper "hinge" and the extreme of the upper whisker (backtransformed) `n` the number of non-NA observations in the sample `conf` the lower and upper extremes of the "notch" `out` the values of any data points which lie beyond the extremes of the whiskers (backtransformed) `group` the group `names` the attributes

## 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.

`boxplotlog`

## Examples

 ```1 2 3``` ```data(chorizon) Ba=chorizon[,"Ba"] boxplotperc(Ba,quant=c(0.05,0.95),horizontal=TRUE,xlab="Ba [mg/kg]",cex.lab=1.2,pch=3) ```

### Example output ```Loading required package: geoR
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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
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