pyramid.plot: Pyramid plot

Description

Displays a pyramid (opposed horizontal bar) plot on the current graphics device.

Usage

pyramid.plot(lx,rx,labels=NA,top.labels=c("Male","Age","Female"),
  main="",laxlab=NULL,raxlab=NULL,unit="%",lxcol,rxcol,gap=1,space=0.2,
  ppmar=c(4,2,4,2),labelcex=1,add=FALSE,xlim,show.values=FALSE,ndig=1,
  do.first=NULL)

Arguments

lx,rx

Vectors or a matrix or data frame (see Details) which should be of equal length.

labels

Labels for the categories represented by each pair of bars. There should be a label for each lx or rx value, even if empty. If labels is a matrix or data frame, the first two columns will be used for the left and right category labels respectively.

top.labels

The two categories represented on the left and right sides of the plot and a heading for the labels in the center.

main

Optional title for the plot.

laxlab

Optional labels for the left x axis ticks.

raxlab

Optional labels for the right x axis ticks.

unit

The label for the units of the plot.

lxcol,rxcol

Color(s) for the left and right sets of bars. Both of these default to rainbow(length(labels)).

gap

One half of the space between the two sets of bars for the labels in user units.

space

Space between the bars. Should be 0 <= space < 1.

ppmar

Margins for the plot (see Details).

labelcex

Expansion for the category labels.

add

Whether to add bars to an existing plot. Usually this involves overplotting a second set of bars, perhaps transparent.

xlim

Optional x limit for the plot (see Details).

show.values

Whether to display lx and rx at the ends of the bars.

ndig

The number of digits to round the values if displayed.

do.first

Optional expression to evaluate before displaying anything.

Value

The return value of par("mar") when the function was called.

Details

pyramid.plot is principally intended for population pyramids, although it can display other types of opposed bar charts with suitable modification of the arguments. If the user wants a different unit for the display, just change unit accordingly. The default gap of two units is usually satisfactory for the four to six percent range of most bars on population pyramids. If labels is a matrix or data frame of at least two columns, the first column will be displayed on the on the left side of the gap in the center, and the second on the right. This will almost always require increasing the gap width and perhaps also specifying a wider plotting device. Displaying the values will usually require increasing the left and/or right margins of the plot, or setting xlim larger than the largest value.

If a gap width of zero is passed, the category labels will be displayed at the left and right extents of the plot. This usually requires setting xlim to values larger than the maximum extent of lx and rx. The user can pass two different values to xlim, but this is almost always a bad idea, as the lengths of the bars will not be in the same proportion to the values on the left and right sides. Both the bars and category labels are vertically centered on integer values, allowing the user to easily add components to the plot.

lx and rx are the values specifying the left and right extents of the left and right bars respectively. If both are matrices or data frames, pyramid.plot will produce opposed stacked bars with the first columns innermost. In this mode, colors are limited to one per column. The stacked bar mode will in general not work with the add method or with a gap of zero. Note that the stacked bar mode can get very messy very quickly.

The add argument allows one or more sets of bars to be plotted on an existing plot. If these are not transparent, any bar that is shorter than the bar that overplots it will disappear. Only some graphic devices (e.g. pdf) will handle transparency.

In order to add bars, the function cannot restore the initial margin values or the new bars will not plot properly. To automatically restore the plot margins, call the function as in the example.

Examples

Run this code

# NOT RUN {
 xy.pop<-c(3.2,3.5,3.6,3.6,3.5,3.5,3.9,3.7,3.9,3.5,3.2,2.8,2.2,1.8,
  1.5,1.3,0.7,0.4)
 xx.pop<-c(3.2,3.4,3.5,3.5,3.5,3.7,4,3.8,3.9,3.6,3.2,2.5,2,1.7,1.5,
  1.3,1,0.8)
 agelabels<-c("0-4","5-9","10-14","15-19","20-24","25-29","30-34",
  "35-39","40-44","45-49","50-54","55-59","60-64","65-69","70-74",
  "75-79","80-44","85+")
 mcol<-color.gradient(c(0,0,0.5,1),c(0,0,0.5,1),c(1,1,0.5,1),18)
 fcol<-color.gradient(c(1,1,0.5,1),c(0.5,0.5,0.5,1),c(0.5,0.5,0.5,1),18)
 par(mar=pyramid.plot(xy.pop,xx.pop,labels=agelabels,
  main="Australian population pyramid 2002",lxcol=mcol,rxcol=fcol,
  gap=0.5,show.values=TRUE))
 # three column matrices
 avtemp<-c(seq(11,2,by=-1),rep(2:6,each=2),seq(11,2,by=-1))
 malecook<-matrix(avtemp+sample(-2:2,30,TRUE),ncol=3)
 femalecook<-matrix(avtemp+sample(-2:2,30,TRUE),ncol=3)
 # group by age
 agegrps<-c("0-10","11-20","21-30","31-40","41-50","51-60",
  "61-70","71-80","81-90","91+")
 oldmar<-pyramid.plot(malecook,femalecook,labels=agegrps,
  unit="Bowls per month",lxcol=c("#ff0000","#eeee88","#0000ff"),
  rxcol=c("#ff0000","#eeee88","#0000ff"),laxlab=c(0,10,20,30),
  raxlab=c(0,10,20,30),top.labels=c("Males","Age","Females"),gap=4,
  do.first="plot_bg(\"#eedd55\")")
 # put a box around it
 box()
 # give it a title
 mtext("Porridge temperature by age and sex of bear",3,2,cex=1.5)
 # stick in a legend
 legend(par("usr")[1],11,c("Too hot","Just right","Too cold"),
  fill=c("#ff0000","#eeee88","#0000ff"))
 # don't forget to restore the margins and background
 par(mar=oldmar,bg="transparent")
# }