[R] Read from data frame, and not from global environment
Prof Brian Ripley
ripley at stats.ox.ac.uk
Tue Aug 2 13:32:35 CEST 2005
I don't think that is the best way to do what I guess you intended. Try
something like
test <- function(formula, data , weights)
{
Call <- match.call()
Call[[1]] <- as.name("glm")
Call$family <- quote(poisson)
glm1 <- eval.parent(Call)
....
}
which is probably giving the scoping that you want.
You could do what you ask for at 1) by something like
wname <- deparse(substitute(w))
w <- if(wname %in% names(data)) data[[wname]] else get(wname, .GlobalEnv)
and for 2) by replacing .GlobalEnv by an expression constructed by calls
to environment() (I don't know exactly what you intended here).
On Tue, 2 Aug 2005, Jochen Einbeck wrote:
> Dear members,
>
> assume given a function of type
>
> test<-function(formula, data , w){
> ......
> glm1<-glm(formula, family=poisson, data=data, weights=w)
> ......
> }
>
> and a simple example data frame as
>
> test.frame<-data.frame(x=1:10,y=(1:10)*2,a=(1:10)^3).
>
> Let us now execute
>
> test(y ~ x, test.frame, a )
>
> My question is: What do I have to insert at the first occurance of .....
> in the test function to ensure that
>
> 1) 'a' is read from the data frame (and is only read from the global
> environment if and only if 'a' is not found in the data frame)
> 2) glm finds w in in the local environment of the function 'test'
That contradicts 1)!
> The question is obviously related to Fernando's problem with
> 'Defining a "local" function' some months ago, though the discussion
> there does not solve the questions above.
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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