Specifying complex plot arrangements
Usage
layout(mat,
widths = rep(1, dim(mat)[2]),
heights= rep(1, dim(mat)[1]),
respect= FALSE)
layout.show(n = 1)
Arguments
mat
|
a matrix object specifying the location of the next N figures
on the output device. Each value in the matrix must be 0 or a
positive integer. If N is the largest positive integer in
the matrix, then the integers {1,...,N-1} must also appear
at least once in the matrix.
|
widths
|
a vector of values for the widths of columns on the
device. Relative widths are specified with numeric values. Absolute
widths (in centimetres) are specified with the lcm() function (see
examples).
|
heights
|
a vector of values for the heights of rows on the device.
Relative and absolute heights can be specified, see widths above.
|
respect
|
either a logical value or a matrix object. If the
latter, then it must have the same dimensions as mat and
each value in the matrix must be either 0 or 1.
|
Description
layout divides the device up into as many rows and columns as
there are in mat, with the column-widths and the row-heights specified
in the respective arguments. Figure i is allocated a region composed
from a subset
of these rows and columns, based on the rows and columns in which i
occurs
in mat. The respect argument controls whether a unit column-width is
the same physical measurement on the device as a unit row-height.Value
The number of figures, N, see above, is returned.Author(s)
Paul R. MurrellReferences
Chapter 5 of Paul Murrell's Ph.D. thesis.See Also
par(mfrow=..), par(mfcol=..)
and par(mfg=..)Examples
def.par <- par()# save default, for resetting...
## divide the device into two rows and two columns
## allocate figure 1 all of row 1
## allocate figure 2 the intersection of column 2 and row 2
layout(matrix(c(1,1,0,2), 2, 2, byrow=T))
## show the regions that have been allocated to each plot
layout.show(2)
## divide device into two rows and two columns
## allocate figure 1 and figure 2 as above
## respect relations between widths and heights
nf <- layout(matrix(c(1,1,0,2), 2, 2, byrow=T), respect=T)
layout.show(nf)
## create single figure which is 5cm square
nf <- layout(matrix(1), widths=lcm(5), heights=lcm(5))
layout.show(nf)
##-- Create a scatterplot with marginal histograms -----
x <- rnorm(50)
y <- rnorm(50)
xhist <- hist(x, breaks=seq(-3,3,0.5), plot=F)
yhist <- hist(y, breaks=seq(-3,3,0.5), plot=F)
top <- max(c(xhist$counts, yhist$counts))
xrange <- c(-3,3)
yrange <- c(-3,3)
nf <- layout(matrix(c(2,0,1,3),2,2,T), c(3,1), c(1,3), T)
layout.show(nf)
par(mar=c(3,3,1,1))
plot(x, y, xlim=xrange, ylim=yrange, xlab="", ylab="")
par(mar=c(0,3,1,1))
barplot(xhist$counts, axes=F, ylim=c(0, top), space=0)
par(mar=c(3,0,1,1))
barplot(yhist$counts, axes=F, xlim=c(0, top), space=0, horiz=T)
par(def.par)#- reset to default