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This package allows you to use a paired list as a Matrix.
PairwiseListMatrix{T, L, diagonal} is a (squared) symmetric matrix that stores a list of values of type T for the pairwise comparison/evaluation of nelements.
If diagonal is true the first element of the list is 1, 1 otherwise is 1, 2.
If diagonal is false, the diagonal values are stored in a vector on the diag field.
Labels can be stored on the field labels as an IndexedArray.
In pairwise calculations like cor(), saving the result as a PairwiseListMatrix is N(N-1)/2 in space, instead of N*N. This is very useful when you need to compare a large number of elements.
PairwiseListMatrix gives you the option of save your labels and allows you to use them for indexing.
shell> cat example.csv
A,B,10
A,C,20
B,C,30
julia> data = readcsv("example.csv")
3x3 Array{Any,2}:
"A" "B" 10
"A" "C" 20
"B" "C" 30
julia> list = from_table(data, Int, ASCIIString, false)
3x3 PairwiseListMatrices.PairwiseListMatrix{Int64,ASCIIString,false}:
0 10 20
10 0 30
20 30 0
julia> list.list
3-element Array{Int64,1}:
10
20
30
julia> labels(list)
3-element IndexedArrays.IndexedArray{ASCIIString}:
"A"
"B"
"C"
julia> getlabel(list, "A", "B")
10
julia> list[1,2]
10
julia> full(list)
3x3 Array{Int64,2}:
0 10 20
10 0 30
20 30 0
PairwiseListMatrix is faster when you work with all the values, since is cache efficient and requires less operations. However is slower than a full matrix for reducing along dimensions.