[R] coef(summary) and plyr

[moleps]

ldply doesnt need a grouping variable as far as I understand the command..

"Description

For each element of a list, apply function then combine results into a data frame

Usage

ldply(.data, .fun = NULL, ..., .progress = "none")"


regards,

M


On 9. aug. 2010, at 15.33, David Winsemius wrote:

> 
> On Aug 9, 2010, at 7:51 AM, moleps wrote:
> 
>> Dear all,
>> 
>> I´m having trouble getting a list of regression variables back into a dataframe.
>> 
>> mydf <- data.frame(x1=rnorm(100), x2=rnorm(100), x3=rnorm(100))
>> 
>> mydf$fac<-factor(sample((0:2),replace=T,100))
>> 
>> mydf$y<- mydf$x1+0.01+mydf$x2*3-mydf$x3*19+rnorm(100)
>> 
>> dlply(mydf,.(fac),function(df) lm(y~x1+x2+x3,data=df))->dl
>> 
>> here I´d like to use
>> 
>> ldply(dl,coef(summary)) or something similar but I cant figure it out...
> 
> dfdl <- ldply(dl, function(x) coef(summary(x)) )
> 
> Doesn't create a grouping variable, so:
> 
> dfdl$group=rep(0:2, each=4)
> 
> 
> David Winsemius, MD
> West Hartford, CT
>