boxplotperc: Boxplot based on percentiles

In StatDA: Statistical Analysis for Environmental Data

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 <[e-mail]> 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.

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)

StatDA documentation built on June 7, 2023, 6:26 p.m.