>> # Use of Curry
>> adaptIntegrate(Curry(f, a=0.2), lower=0, upper=2)
>
> Two objections:
>
> 1. I don't see how that is preferable to
>
> adaptIntegrate(function(x) f(x, a=0.2), lower=0, upper=2)
It's less typing?
A more helpful use is when you have a list of functions:
funs <- list(
sum = sum,
mean = mean,
median = median
)
with Curry function you can do :
funs2 <- lapply(funs, Curry, na.rm = TRUE)
as opposed to
funs2 <- list(
sum = function(x, ...) sum(x, ..., na.rm = TRUE),
mean = function(x, ...) mean(x, ..., na.rm = TRUE),
median = function(x, ...) median(x, ..., na.rm = TRUE)
)
> 2. There seems to be confusion about what currying means. The Wikipedia
> page <http://en.wikipedia.org/wiki/Currying> indicates that the function
> Curry() defined above is really doing "partial function application", not
> currying. I'm in no position to judge whether Byron got it right or
> Wikipedia did, but this suggests to me that the name "Curry" is
> inappropriate, since at least some people who know what currying is would
> not guess that it does what it does.
I'm not completely sure that discussion is canonical: wikipedia citing
a blog post does not a precedent make. I agree the distinction is
sensible, but I think the partial function application sense of
currying is standard enough that it would cause much confusion. We are
not claiming that R has low-level currying, we're creating a function
to simulate a useful property of currying.
Hadley
--
Assistant Professor / Dobelman Family Junior Chair
Department of Statistics / Rice University
http://had.co.nz/
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