an indirect solution is to use the following:
pro <- function(indep, dep){
d <- data.frame(indep)
form <- formula(lm(dep~., data=d))
assign("d", d, envir=.GlobalEnv)
res <- step(lm(dep~X1, data=d), scope=form, trace=0,
direction="f")
rm("d", envir=.GlobalEnv)
res
}
#########
m <- rnorm(100*5); dim(m) <- c(100, 5); colnames(m) <-
paste("X", 1:5,
sep="")
Y <- as.vector(1 + m[, sample(5, 2)]%*%rnorm(2))
pro(m, Y)
step(lm(Y~X1, data=data.frame(m)), scope=Y~X1+X2+X3+X4+X5, trace=0,
direction="f")
I hope it helps.
Best,
Dimitris
----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven
Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/16/336899
Fax: +32/16/337015
Web: http://www.med.kuleuven.ac.be/biostat/
http://www.student.kuleuven.ac.be/~m0390867/dimitris.htm
----- Original Message -----
From: "vasilis pappas" <vasileios_p at yahoo.gr>
To: <r-help at stat.math.ethz.ch>
Sent: Friday, April 01, 2005 9:29 PM
Subject: [R] step error
> Could anyone tell me what am I doing wrong?
>
>> pro<-function(indep,dep){
> + d<-data.frame(indep)
> + form<-formula(lm(dep~.,data=d))
> +
>
forward<-step(lm(dep~X1,data=d),scope=form,trace=0,direction='f')
> + return(forward)
> + }
>> pro(m,q)
> Error in inherits(x, "data.frame") : Object "d" not
> found
>
> Where q is a vector with the dependent variable's
> values
> and m is a matrix containing the values of the
> independent variables.
>
> While writing the above without a function form has no
> problem, that is :
>
>> d<-data.frame(m)
>> form<-formula(lm(q~.,data=d))
>>
> forward<-step(lm(q~X1,data=d),scope=form,trace=0,direction='f')
>> forward
>
> Call:
> lm(formula = q ~ X1 + X2 + X5, data = d)
>
> Coefficients:
> (Intercept) X1 X2 X5
> -15.798 8.765 6.774 -4.245
>
>
> Thank you in advance!
> Vasilis
>
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