Disordered indices with the `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")
(d <- disord(c(4,6,1,2,3,4,5,1)))

## A disord object with hash 2f1770fffb58afdc249675a376b8001efc6fbd8d 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:

## A disord object with hash 2f1770fffb58afdc249675a376b8001efc6fbd8d and elements
## [1] 4 6 1 2 3 4 5 1
## (in some order)

d[ind]

## A disord object with hash 8ec3150637f52c9a521482654cf4ac2c752a65de and elements
## [1] 6 5
## (in some order)

d[ind] <- 99
d

## A disord object with hash db2ff4c4f500c491f66968000b62dfb821af0479 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 2f1770fffb58afdc249675a376b8001efc6fbd8d 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 09d350c6edfa3faadc6f7dfa8a88c006d2680925 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

Robin Hankin

2023-03-22