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disordR
package: an introduction to class
disindex
Experimental S4
class disindex
allows
extraction methods, including list extraction, to operate with the
output of which()
. Consider the following R session:
library("disordR")
## Loading required package: Matrix
(d <- disord(c(4,6,1,2,3,4,5,1)))
## A disord object with hash 93f6fdd5ba9f84411fcd9597aafcd316a5cd6c2e and elements
## [1] 4 6 1 2 3 4 5 1
## (in some order)
ind <- which(d>4)
Above, object ind
points to those elements of
d
which exceed 4. Thus:
d
## A disord object with hash 93f6fdd5ba9f84411fcd9597aafcd316a5cd6c2e and elements
## [1] 4 6 1 2 3 4 5 1
## (in some order)
d[ind]
## A disord object with hash 31722caaf6dbd31b7f0e2dadcf42fade7f23ed96 and elements
## [1] 6 5
## (in some order)
d[ind] <- 99
d
## A disord object with hash 1f096ee44145e843318837dcdc0d5abeb9ce3d7e and elements
## [1] 4 99 1 2 3 4 99 1
## (in some order)
However, we cannot assert that ind
is elements 2 and 7
of d
, for the elements of d
are stored in an
implementation-specific order. If we examine ind
directly,
we see:
ind
## A disind object with hash 93f6fdd5ba9f84411fcd9597aafcd316a5cd6c2e and 2 (implementation-specific) elements
which correctly says that the elements of ind
are
implementation-specific. However, the main application of
disindex
objects is for list extraction.
d <- disord(c(4,1,6,2))
dl <- sapply(d,function(x){seq(from=5,to=x)})
dl
## A disord object with hash 1ce5d2705ef1a06265b2b7524a0f33de8db097a8 and elements
## [[1]]
## [1] 5 4
##
## [[2]]
## [1] 5 4 3 2 1
##
## [[3]]
## [1] 5 6
##
## [[4]]
## [1] 5 4 3 2
##
## (in some order)
Suppose I wish to extract from object dl
just the
element with the longest length. Noting that this would be a
disord
-compliant question, we would use:
howlong <- unlist(lapply(dl,length))
longest <- which(howlong == max(howlong))
dl[[longest]]
## [1] 5 4 3 2 1
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They may not be fully stable and should be used with caution. We make no claims about them.
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