R help - Sep 2009 - renaming intercept column when retrieving coeficients from lme using coef function

I am still fairly new to R and have a fairly rudimentary question.  I am
trying to name a vector of coefficients retrieved from a multilevel model
using the coef function.  I guess the default name is "Intercept" and
I
cannot figure out how to rename it.  

 

I have tried the using the code below to name the column of coefficients
ind.y derived from an lme model.  Unfortunately, the name ind.y is not
applied to the column.  What can I do to name the column?

 

toy<-data.frame(ID=c(1,1,1,2,2,2,3,3,3,4,4,4), x=rnorm(12), y=rnorm(12))
> model.toy<-lme(y~1, random=~1|ID, data=toy)
> coef.y<-("ind.y"=coef(model.toy))
> coef.y
  (Intercept)

1  0.52065015

2  0.04066776

3  0.29793571

4  0.11213693

 

Thanks,

 

Eric McKibben

Doctoral Candidate 

I-O Psychology

Clemson University


	[[alternative HTML version deleted]]

Is this what you want:
> coef.y
  (Intercept)
1  0.03109602
2  0.03109602
3  0.03109603
4  0.03109602
> str(coef.y)
Classes ?coef.lme?, ?ranef.lme? and 'data.frame':       4 obs. of  1
variable:
 $ (Intercept): num  0.0311 0.0311 0.0311 0.0311
 - attr(*, "level")= int 1
 - attr(*, "label")= chr "Coefficients"
 - attr(*, "effectNames")= chr "(Intercept)"
 - attr(*, "standardized")= logi FALSE
 - attr(*, "grpNames")= chr "ID"
> names(coef.y) <- 'myName'
> coef.y
      myName
1 0.03109602
2 0.03109602
3 0.03109603
4 0.03109602
>

On Fri, Sep 25, 2009 at 9:10 PM, Eric McKibben <EMcKibb at clemson.edu>
wrote:
> I am still fairly new to R and have a fairly rudimentary question. ?I am
> trying to name a vector of coefficients retrieved from a multilevel model
> using the coef function. ?I guess the default name is "Intercept"
and I
> cannot figure out how to rename it.
>
>
>
> I have tried the using the code below to name the column of coefficients
> ind.y derived from an lme model. ?Unfortunately, the name ind.y is not
> applied to the column. ?What can I do to name the column?
>
>
>
> toy<-data.frame(ID=c(1,1,1,2,2,2,3,3,3,4,4,4), x=rnorm(12), y=rnorm(12))
>
>> model.toy<-lme(y~1, random=~1|ID, data=toy)
>
>> coef.y<-("ind.y"=coef(model.toy))
>
>> coef.y
>
> ?(Intercept)
>
> 1 ?0.52065015
>
> 2 ?0.04066776
>
> 3 ?0.29793571
>
> 4 ?0.11213693
>
>
>
> Thanks,
>
>
>
> Eric McKibben
>
> Doctoral Candidate
>
> I-O Psychology
>
> Clemson University
>
>
> ? ? ? ?[[alternative HTML version deleted]]
>
> ______________________________________________
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> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>


-- 
Jim Holtman
Cincinnati, OH
+1 513 646 9390

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