On Thu, 2007-10-25 at 16:26 +1000, [EMAIL PROTECTED] wrote:
> I wondered if the real problem was bigger than your abstract version.
> OK. Here is one way to do it
>
> > myfunc <- function(x) {
> nam <- deparse(substitute(x))
> val <- mean(x)
> cat("mean(", nam, ") =", val, "\n")
> invisible(val)
> }
> > ex <- quote(myfunc(x))
> > subst <- function(Command, ...) do.call("substitute", list(Command,
> list(...)))
> > dat <- data.frame(matrix(rnorm(25), 5, 5))
> > vars <- names(dat)[-1]
> > vars
> [1] "X2" "X3" "X4" "X5"
> > for(i in vars) with(dat, eval(subst(ex, x = as.symbol(i))))
> mean( X2 ) = -0.08661249
> mean( X3 ) = 0.009840606
> mean( X4 ) = -0.21054
> mean( X5 ) = 0.07321301
> > colMeans(dat[, -1])
> X2 X3 X4 X5
> -0.086612490 0.009840606 -0.210540008 0.073213012
> >
>
> Now why do I suspect there is something more as well....hmmm...?
>
>
> Bill Venables
Thanks. I'm sure I didn't explain it well but I did mention trying to
use "as.symbol" and problems with evaluation. I didn't have the words to
describe what exactly I was trying to do. Probably best to write a
simple version like you did (although the function I'm using isn't
complicated, it's just too long to serve as an example).
I modified your example so that I can see how it should work with my
actual function (I added one extra argument that doesn't need to
change):
myfunc <- function(y,x) {
nam <- deparse(substitute(x))
val <- mean(x)
cat("mean(", nam, ") =", val,"y=",y, "\n")
invisible(val)
}
ex <- quote(myfunc(y,x))
subst <- function(Command, ...) do.call("substitute",
list(Command,list(...)))
dat <- data.frame(matrix(rnorm(25), 5, 5))
vars <- names(dat)[-1]
vars
for(i in vars) with(dat, eval(subst(ex, x = as.symbol(i),y=2)))
> myfunc <- function(y,x) {
+ nam <- deparse(substitute(x))
+ val <- mean(x)
+ cat("mean(", nam, ") =", val,"y=",y, "\n")
+ invisible(val)
+ }
> ex <- quote(myfunc(y,x))
> subst <- function(Command, ...) do.call("substitute",
list(Command,list(...)))
> dat <- data.frame(matrix(rnorm(25), 5, 5))
> vars <- names(dat)[-1]
> vars
[1] "X2" "X3" "X4" "X5"
> for(i in vars) with(dat, eval(subst(ex, x = as.symbol(i),y=2)))
mean( X2 ) = -0.6343765 y= 2
mean( X3 ) = 0.4810482 y= 2
mean( X4 ) = 0.5850177 y= 2
mean( X5 ) = -0.006917436 y= 2
Thanks again.
Rick B.
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