matrix - Represent similarities between lists in R -

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i have lot of lists containing different quantities of nominal elements. want compare every list every other list , every combination count how many elements 2 lists share. no statistician imagine outcome represented easiest in matrix. 

list1=["joe","hanna","alice"] list2=["martin","ted","joe"] list3=["hanna","ted","joe"]

similarities

afterwards represent outcome graphically, maybe using heatmap or cluster representation.

can give me hints how using r? else representation? lot!

you can use crossprod, table, , stack (assuming data in form twl shared):

data <- list(list1=c("joe","hanna","alice"),               list2=c("martin","ted","joe"),               list3=c("hanna","ted","joe")) crossprod(table(stack(data))) #        ind # ind     list1 list2 list3 #   list1     3     1     2 #   list2     1     3     2 #   list3     2     2     3

wrap in heatmap if you're looking heatmap :-)


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