find common elements among several vectors with R and apply a function -


i r newbie , make question, although title similar other posted questions didn't find solution in them.

my question following: have several vectors different lengths , compare them in pairwise manner , apply function each comparison generating value of common elements between vectors, example 4 vectors named a, b, c, d find common elements between , b, , c, , d, b , c, b , d, c , d.

a more detailed example here (only 2 vectors):

a=c("t","qt","er","oa","qra") b=c("t","ea","ew","ee","oa","qwt")  length(which(a%in%b))/min(length(a),length(b)) #this function apply each comparison. 0.4 #value returned function

i have large number of vectors , don't know how implement loop in order make pairwise comparisons.

many in advance

you can use outer

baseset <- c('t','qt','er','oa','qra','ea','ew','ee','qwt') set.seed(0) <- sample(baseset, 5) b <- sample(baseset, 5) c <- sample(baseset, 5) d <- sample(baseset, 5) dfun <- function(x,y){length(which(x%in%y))/min(length(x),length(y))}  outer(list(a,b,c,d), list(a,b,c,d),vectorize(dfun)) #     [,1] [,2] [,3] [,4] #[1,]  1.0  0.6  0.2  0.6 #[2,]  0.6  1.0  0.4  0.6 #[3,]  0.2  0.4  1.0  0.4 #[4,]  0.6  0.6  0.4  1.0

edit: 

list.df <- list(a=a, b=b, c=c, d=d) outer(list.df, list.df, vectorize(dfun)) #      b   c   d #a 1.0 0.6 0.2 0.6 #b 0.6 1.0 0.4 0.6 #c 0.2 0.4 1.0 0.4 #d 0.6 0.6 0.4 1.0

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