plotrix (version 3.6-4)

box.heresy: Display a sort of box plot

Description

box.heresy displays a box plot in which a symbol represents a measure of central tendency, a surrounding box that represents an "inner" measure of dispersion (e.g. standard error) and whiskers represent an "outer" measure of dispersion (e.g. standard deviation). The function is pretty basic at this time and will probably change a bit.

One of the first changes is to allow varying box widths. The user can specify the box widths as a vector of numeric values at least as long as the number of boxes to be displayed. The usual reason for doing this is to display widths that are proportional to the number of observations. A useful start is to pass boxwidth as the number of observations and let the function work it out.

Usage

box.heresy(x,y,uinner,linner=uinner,ulim,llim=ulim,boxwidth=NA, intervals=FALSE,arrow.cap=NA,pch=22,main="",xlab="",ylab="", xaxlab=NA,col="white",do.first=NULL,...)

Arguments

x,y

Vectors of numeric values representing measures of central tendency.

uinner,linner

Vectors of numeric values representing "inner" measures of dispersion.

ulim,llim

Vectors of numeric values representing "outer" measures of dispersion.

boxwidth

Optional widths for the boxes.

intervals

Whether the values for dispersion are intervals (TRUE) or absolute limits (FALSE).

arrow.cap

The width of the cap on the "whiskers" relative to the width of the plot. Defaults to the same width as the outer box.

pch

The symbol to be used to represent the measure(s) of central tendency in the box.

main

The title for the plot (i.e. main).

xlab,ylab

The x and y axis labels.

xaxlab

Optional labels for the boxes.

col

The fill colors for the "inner" rectangles.

do.first

An expression that will be evaluated before anything is displayed.

...

additional arguments passed to the dispersion function.

Value

See Also

plot, boxplot

Examples

 y1<-runif(20,2,10)
 y2<-rnorm(30,6,2)
 y3<-sample(0:20,40,TRUE)
 Ns<-c(20,30,40)
 ymean<-c(mean(y1),mean(y2),mean(y3))
 y1inner<-quantile(y1,probs=c(.16,.84))
 y2inner<-c(ymean[2]+sd(y2),ymean[2]-sd(y2))
 y3inner<-quantile(y3,probs=c(.16,.84))
 uinner<-c(y1inner[1],y2inner[1],y3inner[1])
 linner<-c(y1inner[2],y2inner[2],y3inner[2])
 ulim<-c(max(y1),max(y2),max(y3))
 llim<-c(min(y1),min(y2),min(y3))
 box.heresy(ymean,uinner=uinner,linner=linner,ulim=ulim,llim=llim,boxwidth=Ns,
  main="Boxplot of means, central spread and range",xlab="Distribution",
  xaxlab=c("Uniform","Normal","Sample"))
 y1outer<-
 y<-runif(5)
 ulim<-runif(5)
 llim<-runif(5)
 uinner<-ulim/2
 linner<-llim/2
 box.heresy(y,uinner=uinner,linner=linner,ulim=ulim,llim=llim,
  intervals=TRUE,main="The heretical boxplot",
  xlab="Number of observations",ylab="Value")