StatDA (version 1.5)

boxplotperc: 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

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

Details

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

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)