Visualize categorical by group variable

images(
  x,
  group,
  ncol = 2,
  byrow = TRUE,
  colorbar = 1,
  colorbar.space = 0.1,
  label.offset = 0.02,
  order = TRUE,
  colorbar.border = 0,
  main,
  rowcol = FALSE,
  plotfun = NULL,
  axis1,
  axis2,
  mar,
  col = list(c("#EFF3FF", "#BDD7E7", "#6BAED6", "#2171B5"), c("#FEE5D9", "#FCAE91",
    "#FB6A4A", "#CB181D"), c("#EDF8E9", "#BAE4B3", "#74C476", "#238B45"), c("#FEEDDE",
    "#FDBE85", "#FD8D3C", "#D94701")),
  ...
)

Arguments

x

data.frame or matrix

group

group variable

ncol

number of columns in layout

byrow

organize by row if TRUE

colorbar

Add color bar

colorbar.space

Space around color bar

label.offset

label offset

order

order

colorbar.border

Add border around color bar

main

Main title

rowcol

switch rows and columns

plotfun

Alternative plot function (instead of 'image')

axis1

Axis 1

axis2

Axis 2

mar

Margins

col

Colours

...

Additional arguments to lower level graphics functions

Author

Klaus Holst

Examples

X <- matrix(rbinom(400,3,0.5),20) group <- rep(1:4,each=5) images(X,colorbar=0,zlim=c(0,3))
images(X,group=group,zlim=c(0,3))
if (FALSE) { images(X,group=group,col=list(RColorBrewer::brewer.pal(4,"Purples"), RColorBrewer::brewer.pal(4,"Greys"), RColorBrewer::brewer.pal(4,"YlGn"), RColorBrewer::brewer.pal(4,"PuBuGn")),colorbar=2,zlim=c(0,3)) } images(list(X,X,X,X),group=group,zlim=c(0,3))
images(list(X,X,X,X),ncol=1,group=group,zlim=c(0,3))
images(list(X,X),group,axis2=c(FALSE,FALSE),axis1=c(FALSE,FALSE), mar=list(c(0,0,0,0),c(0,0,0,0)),yaxs="i",xaxs="i",zlim=c(0,3))