From ggrothendieck at gmail.com  Tue Apr 19 02:17:57 2011
From: ggrothendieck at gmail.com (Gabor Grothendieck)
Date: Mon, 18 Apr 2011 20:17:57 -0400
Subject: [Rd] help with eval()
In-Reply-To: <1303163510.29484.82.camel@nemo>
References: <1303163510.29484.82.camel@nemo>
Message-ID: <BANLkTi=WGsh=YdpW1rcCRY9p9oNs9s2M_Q@mail.gmail.com>

On Mon, Apr 18, 2011 at 5:51 PM, Terry Therneau <therneau at mayo.edu> wrote:
> I've narrowed my scope problems with predict.coxph further.
> Here is a condensed example:
>
> fcall3 <- as.formula("time ~ age")
> dfun3 <- function(dcall) {
> ? ?fit <- lm(dcall, data=lung, model=FALSE)
> ? ?model.frame(fit)
> }
> dfun3(fcall3)
>
> The final call fails: it can't find 'dcall'.
>
> The relevant code in model.frame.lm is:
> ? ? ? env <- environment(formula$terms)
> ? ? ? if (is.null(env))
> ? ? ? ? ? ?env <- parent.frame()
> ? ? ? ?eval(fcall, env, parent.frame())
>
> If the environment of the formula is .Globalenv, as it is here, the
> contents of parent.frame() are ignored. ?Adding a
> ? ? ? ? ? print(ls(parent.frame()))
> statement just above the ?final call shows that it isn't a scope issue:
> the variables we want are there.
>
> ?I don't understand the logic behind looking for variables in the place
> the formula was first typed (this is not a complaint). ?The inability to
> look elsewhere however has stymied my efforts to fix the scoping problem
> in predict.coxph, unless I drop the env(formula) argument alltogether.
> But I assume there must be good reasons for it's inclusion and am
> reluctant to do so.
>

Try using do.call.  Using the built in BOD to illustrate, we first try
the posted code to view the error:

> fcall3 <- as.formula("demand ~ Time")
> dfun3 <- function(dcall) {
+     fit <- lm(dcall, data=BOD, model=FALSE)
+     model.frame(fit)
+ }
> dfun3(fcall3)
Error in model.frame(formula = dcall, data = BOD, drop.unused.levels = TRUE) :
  object 'dcall' not found
>
> # now replace the lm call with a do.call("lm" ...)
> # so that dcall gets substituted before the call to lm:
>
> fcall3 <- as.formula("demand ~ Time")
> dfun3 <- function(dcall) {
+     fit <- do.call("lm", list(dcall, data = BOD, model = FALSE))
+     model.frame(fit)
+ }
> dfun3(fcall3)
  demand Time
1    8.3    1
2   10.3    2
3   19.0    3
4   16.0    4
5   15.6    5
6   19.8    7



-- 
Statistics & Software Consulting
GKX Group, GKX Associates Inc.
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email: ggrothendieck at gmail.com



[Rd] help with eval()
Gabor Grothendieck