layout {graphics} | R Documentation |

`layout`

divides the device up into as many rows and columns as
there are in matrix `mat`

, with the column-widths and the
row-heights specified in the respective arguments.

layout(mat, widths = rep(1, ncol(mat)), heights = rep(1, nrow(mat)), respect = FALSE) layout.show(n = 1) lcm(x)

`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` . |

`n` |
number of figures to plot. |

`x` |
a dimension to be interpreted as a number of centimetres. |

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.

There is a limit (currently 50) for the numbers of rows and columns in the layout, and also for the total number of cells (500).

`layout.show(n)`

plots (part of) the current layout, namely the
outlines of the next `n`

figures.

`lcm`

is a trivial function, to be used as *the* interface
for specifying absolute dimensions for the `widths`

and
`heights`

arguments of `layout()`

.

`layout`

returns the number of figures, *N*, see above.

These functions are totally incompatible with the other mechanisms for
arranging plots on a device: `par(mfrow)`

,
`par(mfcol)`

and `split.screen`

.

Paul R. Murrell

Murrell, P. R. (1999) Layouts: A mechanism for arranging plots on a page.
*Journal of Computational and Graphical Statistics*,
**8**, 121-134.
Chapter 5 of Paul Murrell's Ph.D. thesis.

`par`

with arguments `mfrow`

, `mfcol`

, or
`mfg`

.

def.par <- par(no.readonly = TRUE) # 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 = TRUE)) ## 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=TRUE), respect=TRUE) 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 <- pmin(3, pmax(-3, rnorm(50))) y <- pmin(3, pmax(-3, rnorm(50))) xhist <- hist(x, breaks=seq(-3,3,0.5), plot=FALSE) yhist <- hist(y, breaks=seq(-3,3,0.5), plot=FALSE) 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,byrow=TRUE), c(3,1), c(1,3), TRUE) 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$counts, axes=FALSE, ylim=c(0, top), space=0) par(mar=c(3,0,1,1)) barplot(yhist$counts, axes=FALSE, xlim=c(0, top), space=0, horiz=TRUE) par(def.par)#- reset to default

[Package *graphics* version 2.1.0 Index]