HH (version 3.1-47)

rbind.trellis: Extend matrix reshaping functions to trellis objects.

Description

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

Usage

transpose(x)
# S3 method for trellis
transpose(x)
# S3 method for default
transpose(x)
# S3 method for trellis
aperm(a, perm, ...)
# S3 method for trellis
rbind(..., deparse.level=1,
      combineLimits=TRUE, useOuterStrips=TRUE)
# S3 method for 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(...)) uppercase letters are used.

Value

trellis object constructed from arguments with new dim and layout.

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.

Examples

# NOT RUN {
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)

# }
# NOT RUN {
## 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

u5 <- tempfile("u5", fileext = ".pdf")
pdf(u5, 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.
# }
# NOT RUN {
# }
# NOT RUN {
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)
# }