[R] Passing arguments to glm()

Jacques VESLOT jacques.veslot at good.ibl.fr
Fri Jun 30 17:17:52 CEST 2006


i forgot a paste():
f.myglm <- function(y=y, subset="x2 == 'yes'", data=d.d.mydata) eval(parse(text=paste("glm(",
deparse(substitute(y)), "~ x1, family=binomial, data=", deparse(substitute(data)), ", subset =,
subset, ")", sep="")))
-------------------------------------------------------------------
Jacques VESLOT

CNRS UMR 8090
I.B.L (2ème étage)
1 rue du Professeur Calmette
B.P. 245
59019 Lille Cedex

Tel : 33 (0)3.20.87.10.44
Fax : 33 (0)3.20.87.10.31

http://www-good.ibl.fr
-------------------------------------------------------------------

Jacques VESLOT a écrit :
>  > f.myglm <- function(y=y, subset="x2 == 'yes'", data=d.d.mydata) eval(parse(text="glm(", 
> deparse(substitute(y)), "~ x1, family=binomial, data=", deparse(substitute(data)), ", subset =, 
> subset, ")"))
>  > f.myglm()
> 
> -------------------------------------------------------------------
> Jacques VESLOT
> 
> CNRS UMR 8090
> I.B.L (2ème étage)
> 1 rue du Professeur Calmette
> B.P. 245
> 59019 Lille Cedex
> 
> Tel : 33 (0)3.20.87.10.44
> Fax : 33 (0)3.20.87.10.31
> 
> http://www-good.ibl.fr
> -------------------------------------------------------------------
> 
> 
> Christian Bieli a écrit :
> 
>>Hi there
>>
>>I want to pass arguments (i.e. the response variable and the subset 
>>argument) in a self-made function to glm.
>>Here is one way I can do this:
>>
>>f.myglm <- function(y,subfact,subval) {
>>  
>>glm(d.mydata[,y]~d.mydata[,'x1'],family=binomial,subset=d.mydata[,subfact]==subval)
>>}
>>
>> > str(d.mydata)
>>`data.frame':    15806 obs. of  3 variables:
>> $ y : Factor w/ 2 levels "no","yes": 1 1 1 1 1 1 1 NA 1 1 ...
>> $ x1: Factor w/ 2 levels "no","yes": 2 2 1 2 2 2 2 2 2 2 ...
>> $ x2: Factor w/ 2 levels "no","yes": 1 1 1 1 1 2 2 1 2 2 ...
>>
>> > f.myglm('y','x2','yes')
>>
>>But is there a way I can pass the arguments and use the data argument of 
>>glm()?
>>In a naive way of thinking I'd like to something like this:
>>f.myglm <- function(y,sub) {
>>  glm(y~x1,family=binomial,data=d.mydata,subset=sub)
>>}
>> > f.myglm(y=y,sub=x2=='yes')
>>
>>I know that's not possible, because the objects y and x2 are not defined 
>>in the user workspace.
>>So, something like passing the arguments as an expression and evaluate 
>>it in the glm function should work, but I didn't manage to do it.
>>
>>I'd appreciate your advice.
>>Christian
>>
>> > R.version
>>         _             
>>platform i386-pc-mingw32
>>arch     i386          
>>os       mingw32       
>>system   i386, mingw32 
>>status                 
>>major    2             
>>minor    2.1           
>>year     2005          
>>month    12            
>>day      20            
>>svn rev  36812         
>>language R
>>
>>______________________________________________
>>R-help at stat.math.ethz.ch mailing list
>>https://stat.ethz.ch/mailman/listinfo/r-help
>>PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
>>
> 
> 
> ______________________________________________
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>



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