vectorize: Vectorize a scalar function to work on any R object.
In cvarrichio/rowr: Row-Based Functions for R Objects

Robust alternative to Vectorize function that accepts any function with two or more arguments. Returns a function that will work an arbitrary number of vectors, lists or data frames, though output may be unpredicatable in unusual applications. The results are also intended to be more intuitive than Vectorize.

1	vectorize(fun, type = NULL)

`fun`	a two or more argument function
`type`	like `MARGIN` in `apply`, except that `c(1,2)` is represented as a `3` instead. By default, will `Reduce` single dimensional data handle everything else row-wise.

vectorize(`+`)(c(1,2,3))
vectorize(sum)(c(1,2,3),c(1,2,3))
# Compare these results to Vectorize, which does not vectorize sum at all.
Vectorize(sum)(c(1,2,3),c(1,2,3))
# Across data frame columns.
df<-data.frame(a=c(1,2,3),b=c(1,2,3))
vectorize(sum)(df$a,df$b)
# Once again, Vectorize gives a different result
Vectorize(sum)(df$a,df$b)
# Any combination of vectors, lists, matrices, or data frames an be used.
vectorize(`+`)(c(1,2,3),list(1,2,3),cbind(c(1,2,3)))