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Comparison of several vectors simultaneously in R?

I can easily compare 2 vectors in R to see how many elements are the same. Let's say

  a<- c(1,2,3,4)
  b<- c(1,2,3,5)
  sum(a==b) would give me what I want

But how can I compare 3 vectors? or more than 3 vectors at the same time?

  a<- c(1,2,3,4)
  b<- c(1,2,3,5)
  c<- c(2,3,4,5)
  sum(a==b & b==c) # does not seem to be correct

I am looking for whether the elements are the same in the same position. In this case, this will give me zero, since a, b, c are not all the same in the same position.

count = 0
for(i in 1:length(a)){
  if((a[i]==b[i]) & (a[i]==c[i]))
  count=count+1
} # this will give me that I want, but the efficiency seems very low
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2 answers
is.equal <- function(mylist) {

    check.eq <- sapply(mylist[-1], function(x) {x == mylist[[1]]})

    as.logical(apply(check.eq, 1, prod))                   

}

is.equal(list(c(1,2,3,4), c(1,2,5,4), c(1,1,3,4)))

[1]  TRUE FALSE FALSE  TRUE
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Create matrixor data.frameand check if one of the columnothers matches .

 m1 <- cbind(a,b,c)
 sum(rowSums(m1==m1[,1])==ncol(m1))
 #[1] 0

or

 sum(Reduce(`&`,Map(`==`, list(a,b,c), list(a))))
 #[1] 0

If you want to find the length of common elements,

 length(Reduce(intersect,list(a,b,c)))
 #[1] 2
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