Linux, OSX:
Windows:
Code Coverage: 
This package allows you to use a paired list as a Matrix.
PairwiseListMatrix{T, 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() if results are saved as PairwiseListMatrix the space is N(N-1)/2 instead of N*N. This is useful to compare a large number of elements.
PairwiseListMatrix gives the option of save labels and allows to use them for indexing.
julia> # Pkg.add("PairwiseListMatrices")
julia> using PairwiseListMatrices
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, false)
3x3 PairwiseListMatrices.PairwiseListMatrix{Int64,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{Any}:
"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 than a full matrix to make operatation like sum and mean in the whole matrix, since it is cache efficient. However it is slower than a full matrix for reducing along dimensions.