rbind.trellis

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Extend matrix reshaping functions to trellis objects.

Extend matrix reshaping functions to trellis objects. See the details section for comparisons with similar functions in the lattice package.

Keywords
dplot
Usage
transpose(x)
## S3 method for class 'trellis':
transpose(x)
## S3 method for class 'default':
transpose(x)
## S3 method for class 'trellis':
aperm(a, perm, ...)
## S3 method for class 'trellis':
rbind(..., deparse.level=1,
      combineLimits=TRUE, useOuterStrips=TRUE)
## S3 method for class 'trellis':
cbind(..., deparse.level=1,
      combineLimits=TRUE, useOuterStrips=TRUE)
Arguments
..., x, a
A set of trellis objects.
perm
Permutation vector, see aperm for details.
combineLimits, useOuterStrips
logical. If TRUE (the default), use the similarly named latticeExtra functions before returning the result.
deparse.level
See cbind for details. These functions ignore this argument and always use the names(list(...)), if non-NULL, for the labels. If NULL, then the first length(list(
Details

transpose.trellis tries to capture and modify all potentially relevant trellis components. transpose.trellis is more comprehensive than the similar t.trellis which adjusts only the perm.cond component.

aperm.trellis does not attempt to check all potentially relevant trellis components. It does not adjust layout.heights, layout.widths, or between It may show strange axis positions or strip positions for any non-standard arrangement, for example, for any trellis object that has already been through latticeExtra::combineLimits.

Value

  • trellis object constructed from arguments with new dim and layout.

Aliases
  • rbind.trellis
  • transpose.trellis
  • transpose
  • transpose.default
  • aperm.trellis
  • cbind.trellis
Examples
F <- xyplot((1:15) ~ (1:15) | rep(factor(letters[3:5]), each=5))
G <- xyplot((1:18) ~ (1:18) | rep(factor(letters[3:5]), each=6))
rbind(AAA=F, BBB=G)
cbind(AAA=F, BBB=G)

tmp <- data.frame(y=1:24,
                  x=1:24,
                  a=rep(letters[1:2], each=12),
                  b=rep(letters[3:5], each=4, times=2),
                  c=rep(letters[6:9], times=6))

t3 <- xyplot(y ~ x | c*b*a, data=tmp,
             panel=function(x, y, ...) panel.text(x, y, y),
             scales=list(alternating=FALSE))
## t3
t3u <- update(t3, layout=c(4*3, 2), between=list(x=c(0,0,0,1)), main="t3")
useOuterStripsT2L1(t3u)

## update(t3, layout=c(24, 1))

t3.321 <- aperm(t3, c(3,2,1))
update(t3.321, main="t3.321", layout=c(6,4), between=list(x=c(0,1))) ## 2*3,4

try(transpose(t3))   ## requires a one- or two-dimensional trellis object.

t3.123 <- aperm(t3, c(1,2,3)) ## identity operation
t3.132 <- aperm(t3, c(1,3,2))
t3.213 <- aperm(t3, c(2,1,3))
t3.231 <- aperm(t3, c(2,3,1))
t3.312 <- aperm(t3, c(3,1,2))
t3.321 <- aperm(t3, c(3,2,1))

u3.123 <- update(t3.123, main="t3.123", layout=c(12,2),
                 between=list(x=c(0,0,0,1))) ## 4*3,2
u3.132 <- update(t3.132, main="t3.132", layout=c(8,3),
                 between=list(x=c(0,0,0,1))) ## 4*2,3
u3.213 <- update(t3.213, main="t3.213", layout=c(3,8),
                 between=list(y=c(0,0,0,1)), par.strip.text=list(cex=.8)) ## 3,4*2
u3.231 <- update(t3.231, main="t3.231", layout=c(6,4),
                 between=list(x=c(0,0,1))) ## 2*3,4
u3.312 <- update(t3.312, main="t3.312", layout=c(2,12),
                 between=list(y=c(0,0,0,1)), par.strip.text=list(cex=.6)) ## 2,3*4
u3.321 <- update(t3.321, main="t3.321", layout=c(6,4),
                 between=list(x=c(0,1))) ## 2*3,4

pdf("u5.pdf", width=17, height=22)
print(u3.123, split=c(1,1,2,3), more=TRUE)
print(u3.132, split=c(2,1,2,3), more=TRUE)
print(u3.213, split=c(1,2,2,3), more=TRUE)
print(u3.231, split=c(2,2,2,3), more=TRUE)
print(u3.312, split=c(1,3,2,3), more=TRUE)
print(u3.321, split=c(2,3,2,3), more=FALSE)
dev.off()

try(transpose(t3.123)) ## layout is a matrix, but dim is not.

t2 <- xyplot(y ~ x | b*c, data=tmp,
             panel=function(x, y, ...) panel.text(x, y, y),
             scales=list(alternating=FALSE))
t2

## aperm(t2, 1:2) ## identity

transpose(t2)
aperm(t2, 2:1)

t1a <- xyplot(y ~ x | b, data=tmp[tmp$a=="a",])
t1b <- xyplot(y ~ x | b, data=tmp[tmp$a=="b",])
t1a
t1b

rbind(t1a, t1b)
rbind(AAA=t1a, BBB=t1b)

cbind(t1a, t1b)
cbind(AAA=t1a, BBB=t1b)
Documentation reproduced from package HH, version 3.1-23, License: GPL (>= 2)

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