Good day,
   
  Yeah i tried most of the suggestions and still had the same problem. Some people also suggested that i supplied a data set so they could verify what i am saying. That is why i am still asking the same question with more details as required. 
   
  My main focus now is to calculate the values in the "unaccessible"-printed output from the accessible ones as mentioned towards the end of my latest mail.
   
  Kind regards
  Pryseley

"Doran, Harold" <HDoran@air.org> wrote:
  Pryseley:

You asked this question last week and received answers to that question
along with other suggestions from Doug Bates and myself. Is there some
reason the post by Andrew Robinson is not working?

Harold

> -----Original Message-----
> From: r-help-bounces@stat.math.ethz.ch 
> [mailto:r-help-bounces@stat.math.ethz.ch] On Behalf Of Pryseley Assam
> Sent: Thursday, June 01, 2006 6:25 AM
> To: r-help@stat.math.ethz.ch
> Subject: [R] Help: lme
> 
> Good day R-Users,
> 
> I have a problem accessing some values in the output from 
> the summary of an lme fit.
> 
> 
> The structure of my data is as shown below (I have attached a 
> copy of the full data).
> 
> 
> id trials endp Z.sas ST
> 1 1 -1 -1 42.42884
> 1 1 1 -1 48.12007
> 2 1 -1 -1 43.42878
> 2 1 1 -1 46.82817
> 3 1 -1 -1 45.56736
> ...........................................
> 598 10 -1 1 49.59715
> 598 10 1 1 55.46324
> 599 10 -1 1 46.80873
> 599 10 1 1 53.52223
> 600 10 -1 1 48.58257
> 600 10 1 1 56.78674
> 
> I used the following code to fit my model of interest:
> 
> ggg <- lme (ST~ -1 + as.factor(endp):Z.sas + 
> as.factor(endp), data=dat4a,
> random=~-1 + as.factor(endp) + 
> as.factor(endp):Z.sas|as.factor(trials),
> correlation = 
> corSymm(form=~1|as.factor(trials)/as.factor(id)), 
> weights=varIdent(form=~1|endp))
> 
> hh <- summary(ggg)
> hh
> 
> Below is the following part of the output of interest I 
> wish to access:
> 
> Correlation Structure: General
> Formula: ~1 | as.factor(trials)/as.factor(id) Parameter estimate(s):
> Correlation: 
> 1 
> 2 0.785
> Variance function:
> Structure: Different standard deviations per stratum
> Formula: ~1 | endp
> Parameter estimates:
> -1 1 
> 1.0000000 0.9692405 
> 
> I wish to access the value of the correlation (0.785) and 
> the vector of the variance function estimates (1, 0.969). I 
> know these can be done through the intervals function, but 
> sometimes when the estimated Hessian matrix is not positive 
> definite or something like that (i am not quite sure), the 
> intervals function delivers an error message. 
> 
> Thus, i will like to ask if there is another way to access 
> these values. I tried using the following code:
> 
> hh$modelStruct$corStruct[1]
> hh$modelStruct$varStruct[1]
> 
> Rather the output was:
> 
> > hh$modelStruct$corStruct[1]
> [1] -1.308580
> > hh$modelStruct$varStruct[1]
> [1] -0.03124255
> 
> I presume there is a way to calculate the correlation and 
> variance function coefficients using these values. 
> 
> Could you tell me how to access those values (without using 
> the intervals function) or better still how to calculate the 
> values from the last output values. 
> 
> Kind regards
> Pryseley
> 
> 
> 
> __________________________________________________
> 
> 
> 


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