On Jun 25, 2013, at 6:05 PM, Dan Murphy wrote:
> My problem is to evaluate a function/model whose definition and
> parameters (I'll put x into the arguments) and other data are saved by
> someone else in an Rdata file, but I don't know the function name,
> definition or data. Nevertheless, I need
My problem is to evaluate a function/model whose definition and
parameters (I'll put x into the arguments) and other data are saved by
someone else in an Rdata file, but I don't know the function name,
definition or data. Nevertheless, I need to save whatever functional
values/model solutions are s
On 25/06/2013 11:56 AM, Dan Murphy wrote:
So the trick is to put the function f into e and define its environment to be e:
Putting f into e, and defining the environment of f to be e solve
different problems. Your toy example has both problems so it's a
reasonable solution there, but most re
So the trick is to put the function f into e and define its environment to be e:
> e <- new.env()
> e$f <- function() x^2
> environment(e$f) <- e
> e$x <- 2
> do.call("f", list(), envir = e)
[1] 4
Thanks, Duncan.
On Tue, Jun 25, 2013 at 6:49 AM, Duncan Murdoch
wrote:
> On 25/06/2013 9:32 AM, Dan
On 25/06/2013 9:32 AM, Dan Murphy wrote:
I am having difficulty understanding the envir argument of do.call.
The help page says
envir an environment within which to evaluate the call.
so I thought that in the following toy example x would be found in the
environment e and f would return 4 via
I am having difficulty understanding the envir argument of do.call.
The help page says
envir an environment within which to evaluate the call.
so I thought that in the following toy example x would be found in the
environment e and f would return 4 via do.call:
> e <- new.env()
> e$x <- 2
> f <
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