kiteChart: Magnitude by position chart.

Description

Display numeric values as the widths of a polygon along a dimension such as time.

Usage

kiteChart(x,xlim=NA,ylim=NA,timex=TRUE,main="Kite chart",
 xlab=ifelse(timex,"Time","Groups"),ylab=ifelse(timex,"Groups","Time"),
 fill=NULL,border=par("fg"),varpos=NA,varlabels=NA,varscale=FALSE,
 timepos=NA,timelabels=NA,mar=c(5,4,4,4),axlab=c(1,2,3,4),
 normalize=is.na(varpos[1]),shownorm=TRUE,...)

Arguments

Numeric matrix or data frame

xlim

Horizontal extent of the chart. Defaults to 1:dim(x)[2].

ylim

Vertical extent of the chart. Defaults to 0.5:dim(x)[1]+0.5.

timex

Whether the "time" axis is x (horizontal) or not.

main,xlab,ylab

As in plot.

fill

The color(s) with which to fill the polygons. Defaults to rainbow(1:dim(x)[1]).

border

The color of the borders of the polygons.

varpos

Optional positions for the "kite lines". Defaults to 1:dimx[1]. (see Details)

varlabels

Labels for the rows of values - defaults to the rownames, or if these are missing, varpos[1:dim(x)[1]].

varscale

Whether to show the maximum extent of each "kite line".

timepos

The positions of the values along the x axis, usually times, defaulting to 1:dim(x)[2].

timelabels

Labels for the positions, defaulting to timepos.

mar

Plot margins. These leave space for the normalization multipliers on the right or top side (see Details).

axlab

Where to put axis tick labels and multipliers. See Details.

normalize

Whether to scale each row of values to a maximum width of 1.

shownorm

Whether to display the normalization multipliers.

...

additional arguments passed to plot.

Value

The values of mar that were current when kiteChart was called.

Details

kiteChart displays each row of x as a sequence of widths, allowing the relationships between those values and the dimension along which they occur (usually time) to be illustrated.

The values in x are scaled to a maximum polygon width of 1 if normalize is TRUE. This is to avoid overlapping of the polygons. There may be some cases where the values can be displayed directly. If normalized, the multipliers will be displayed for each row on the right or top side of the chart unless shownorm is FALSE. Remember to specify the mar argument if more space at the top is needed.

The axlab argument allows the user to place the axis tick labels and normalization multipliers on different axes. The default places the tick labels on the bottom and left sides of the plot and the multipliers on the right or top. Using axlab=c(3,4,1,2) places the tick labels on the top and right and the multipliers on the left or bottom. The mar argument may have to be adjusted.

The user can display raw values by default, or by setting varpos to TRUE. Setting varpos to a vector of positions will place the "kite lines" on those values. If there are no row names and the varlabels argument is NA, the values of varpos will be used as labels for each "kite line". The maximum extent of each "kite line" can be displayed by setting varscale to TRUE. If varscale is TRUE, one extra line will be added to the top margin. If varpos[1] is not NA, normalize is FALSE by default.

Examples

Run this code

testmat<-matrix(c(runif(50),sample(1:50,50),rnorm(50)+5,
  sin(1:50)),ncol=50,byrow=TRUE)
 kiteChart(testmat,varlabels=c("Uniform","Sample","Normal","Sine"),
  timepos=seq(1,50,by=5),timex=FALSE)
 # now show it with kite line maxima
 kiteChart(testmat,varlabels=c("Uniform","Sample","Normal","Sine"),
  timepos=seq(1,50,by=5),timex=FALSE,varscale=TRUE)
 musicmat<-matrix(c(c(0.5,0.4,0.3,0.25,0.2,0.15,0.1,rep(0.05,44))+runif(51,0,0.05),
  c(0.1,0.2,0.3,0.35,0.4,0.5,0.4,rep(0.5,14),rep(0.4,15),rep(0.3,15))+runif(51,0,0.1),
  rep(0.15,51)+runif(51,0,0.1),
  c(rep(0,29),c(0.1,0.2,0.4,0.5,0.3,0.2,rep(0.05,16))+runif(22,0,0.05)),
  c(rep(0,38),c(rep(0.05,6),0.08,0.15,0.20,0.25,0.2,0.25,0.3)+runif(13,0,0.05))),
  ncol=51,byrow=TRUE)
 kiteChart(musicmat,varlabels=c("Swing","Rock","Jazz","Disco","Rap"),
  main="An utterly imaginary chart of music popularity",
  timepos=seq(1,51,by=10),timelabels=seq(1950,2000,by=10),mar=c(5,4,4,2),
  normalize=FALSE)