[R] Two Noobie questions

[AllenL]

Thanks for your help!

I combined the above two to get the following, which seems to work (if
somewhat inelegant):

int.List<-unlist(lapply(lmList, function(x) {coef(x)[1]}),use.names=FALSE)
lmList is my list of lm objects. 
-Allen





David Winsemius wrote:
> 
> 
> On Jan 6, 2009, at 1:50 PM, AllenL wrote:
> 
>>
>> 1. I have a list of lm (linear model) objects. Is it possible to  
>> select,
>> through subscripts, a particular element (say, the intercept) from  
>> all the
>> models? I've tried something like this:
> 
> ?coef
> if your list of models is ml, then perhaps something like this  
> partially tested idea:
> 
> lapply(ml, function(x) coef(x)[1] )
> 
> This is what I get using that formulation an available logistic model:
> 
>  > coef(lr.TC_HDL_BMI)[1]
> Intercept
> -6.132448
> 
> 
>>
>>
>> List[[1:length(list)]][1]
>> All members of the list are similar. My goal is to have a list of the
>> intercepts and lists of other estimated parameters. Is it better to  
>> convert
>> to a matrix? How to do this?
>>
>> 2. Connected to this, how do I convert from a list back to a vector?  
>> This
>> problem arose from using "split" to split a vector by a factor, then
>> selecting a subset of this (ie. length>10), leaving me with subset  
>> list of
>> my original. Unsplit(newList, factor) doesn't work, presumably due  
>> to my
>> removal of some values. Thoughts?
> 
> ?unlist
> 
>  > ll <- list(1,2,3,4)
>  > ll
> [[1]]
> [1] 1
> 
> [[2]]
> [1] 2
> 
> [[3]]
> [1] 3
> 
> [[4]]
> [1] 4
> 
>  > unlist(ll)
> [1] 1 2 3 4
>  > str(unlist(ll))
>   num [1:4] 1 2 3 4
>  > is.vector(unlist(ll))
> [1] TRUE
> 
> -- 
> David Winsemius
>>
>>
>> Thanks!
>> -Allen
>>
>>
>>
>> -- 
>> View this message in context:
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>>
>> ______________________________________________
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>> and provide commented, minimal, self-contained, reproducible code.
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 
> 

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