images: Organize several image calls (for visualizing categorical...

In kkholst/lava: Latent Variable Models

Organize several image calls (for visualizing categorical data)

Description

Visualize categorical by group variable

Usage

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(s)

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))
## Not run: 
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))

## End(Not run)
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))

kkholst/lava documentation built on Feb. 22, 2024, 4:07 p.m.