What is Julia's equivalent of R's %in%

[Tamas_Papp]

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Julia's in.() seems slow compared to R's %in%

Hi everyone, I want to compare if elements of vector x are in elements of vector y. In R, I can do this as follows: > x <- c("a", "b", "c") > y <- c("b", "a") > x %in% y [1] TRUE TRUE FALSE In Julia, I can do this as follows: julia> x = ["a", "b", "c"]; julia> y = ["b", "c"]; julia> in.(x, Ref(y)) 3-element BitArray{1}: false true true Now let’s make the vector big: In R, > set.seed(123) > x <- rnorm(100000, 1000, 2) > y <- rnorm(100000, 1000, 2) > system.time(x %in% y) user sy…

TL;DR: you are probably looking for

x .∈ Ref(Set(y))