Further delving into the mysteries of R evaluation...This is closely related to my previous question ( How to write an R function that evaluates an expression within a data-frame ). Let's say I want to write a function topfn
that takes a data-frame and an expression involving column-names of that data-frame. I want to pass both these arguments on to another function fn
that actually evaluates the expression within the "environment" of the data-frame. And I want both fn
and topfn
to work correctly when passed a data-frame and an expression
My first attempt, as suggested in the answer to the above question, is to define:
fn <- function(dfr, expr) { mf <- match.call() eval( mf$expr, envir = dfr ) }
And define topfn
like this:
topfn <- function(df, ex) { mf <- match.call() fn(df, mf$ex) }
Now if I have a data-frame
df <- data.frame( a = 1:5, b = 1:5 )
the inner function fn
works fine:
> fn(df,a) [1] 1 2 3 4 5
But the topfn
does not work:
> topfn(df,a) mf$ex
To fix this I first check the class of topfn(df,a)
,
> class(topfn(df,a)) [1] "call"
This gives me an idea for an ugly hack to re-define fn
as follows:
fn <- function(dfr, expr) { mf <- match.call() res <- eval(mf$expr, envir = dfr) if(class(res) == 'call') eval(expr, envir = dfr) else res }
And now both functions work:
> fn(df,a) [1] 1 2 3 4 5 > topfn(df,a) [1] 1 2 3 4 5
As I said, this looks like an ugly hack. Is there a better way (or more standard idiom) to get these working? I've consulted Lumley's curiously-named Standard NonStandard Evaluation Rules document http://developer.r-project.org/nonstandard-eval.pdf but wasn't particularly enlightened after reading it. Also helpful would be any pointers to source-code of functions I can look at for examples.