Apply many functions to one vector

Question

I am looking for an option to apply many functions to one vector. I think it is kind on an inverse apply function where one function is applied to many vectors (or columns).

Is there a way of specifing two or more functions (like mean and max) and apply this on a vector?

an example could be appreciated but I guess one way is to do e.g. `v <- rnorm(10); sapply(c("mean","median","sd"), function(nf){get(nf)(v)})` — Cath, Jun 22 '15 at 11:54
This is one solution I was looking for. Unfortunatly I wasn't familiar with the get function. Thanks solving this despite I didn't provides an example. — jnshsrs, Jun 22 '15 at 12:02

score 10 · Accepted Answer · answered Jun 22 '15 at 12:10

10

Similar to @CathG's comment, but without get:

v <- rnorm(10)
funs <- list(mean, median, sd) 
sapply(funs, function(fun, x) fun(x), x = v)

Or with do.call:

sapply(funs, do.call, args = list(v))

answered Jun 22 '15 at 12:10

Roland

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Why not just `sapply(funs, function(fun, x) fun(v))`? – David Arenburg Jun 22 '15 at 12:18
@DavidArenburg Best practice is to always pass all objects explicitly instead of relying on scoping. – Roland Jun 22 '15 at 12:20

Apply many functions to one vector

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