boxplotperc {StatDA} | R Documentation

## Boxplot based on percentiles

### Description

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

### Usage

    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>

### 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

`boxplotlog`

### Examples

    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)

[Package StatDA version 1.0 Index]