I have number of strings in an idiosyncratic format, representing sets. In R, I'd like to convert them into a similarity matrix.
For example, a string showing that 1+2 comprise a set, 3 is alone in a set, and 4,5, and 6 comprise a set is:
"1+2,3,4+5+6"
For the example above, I'd like to be able to produce
[,1] [,2] [,3] [,4] [,5] [,6] [1,] 1 1 0 0 0 0 [2,] 1 1 0 0 0 0 [3,] 0 0 1 0 0 0 [4,] 0 0 0 1 1 1 [5,] 0 0 0 1 1 1 [6,] 0 0 0 1 1 1
It seems like this should be a painfully simple task. How would I go about it?
Here's an approach:
out <- lapply(unlist(strsplit("1+2,3,4+5+6", ",")), function(x) {
as.numeric(unlist(strsplit(x, "\\+")))
})
x <- table(unlist(out), rep(seq_along(out), sapply(out, length)))
matrix(x %*% t(x), nrow(x))
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] 1 1 0 0 0 0
## [2,] 1 1 0 0 0 0
## [3,] 0 0 1 0 0 0
## [4,] 0 0 0 1 1 1
## [5,] 0 0 0 1 1 1
## [6,] 0 0 0 1 1 1
Pseudocode:
Split at , to get an array of strings, each describing a set.
For each element of the array:
Split at + to get an array of set members
Mark every possible pairing of members of this set on the matrix
You can create a matrix in R with:
m = mat.or.vec(6, 6)
By default, the matrix should initialize with all entries 0. You can assign new values with:
m[2,3] = 1
Here's another approach:
# write a simple function
similarity <- function(string){
sets <- gsub("\\+", ":", strsplit(string, ",")[[1]])
n <- as.numeric(tail(strsplit(gsub("[[:punct:]]", "", string), "")[[1]], 1))
mat <- mat.or.vec(n, n)
ind <- suppressWarnings(lapply(sets, function(x) eval(parse(text=x))))
for(i in 1:length(ind)){
mat[ind[[i]], ind[[i]]] <- 1
}
return(mat)
}
# Use that function
> similarity("1+2,3,4+5+6")
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 1 1 0 0 0 0
[2,] 1 1 0 0 0 0
[3,] 0 0 1 0 0 0
[4,] 0 0 0 1 1 1
[5,] 0 0 0 1 1 1
[6,] 0 0 0 1 1 1
# Using other string
> similarity("1+2,3,5+6+7, 8")
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
[1,] 1 1 0 0 0 0 0 0
[2,] 1 1 0 0 0 0 0 0
[3,] 0 0 1 0 0 0 0 0
[4,] 0 0 0 0 0 0 0 0
[5,] 0 0 0 0 1 1 1 0
[6,] 0 0 0 0 1 1 1 0
[7,] 0 0 0 0 1 1 1 0
[8,] 0 0 0 0 0 0 0 1
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