vectorize: Vectorize a scalar function to work on any R object.

In ccpluncw/ccpl_R_chutils:

Vectorize a scalar function to work on any R object.

Description

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. Originally written for the row.r package by Craig Varrichio. Included here because the rowr package was discontinued. I use these functions in my packages

Usage

vectorize(fun, type = NULL)

Arguments

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.

Examples

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)))

ccpluncw/ccpl_R_chutils documentation built on Feb. 28, 2024, 1:17 a.m.