# [R] Help: lme

From: Pryseley Assam <assampryseley_at_yahoo.com>
Date: Thu 01 Jun 2006 - 20:25:22 EST

Good day R-Users,

```  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

Kind regards
Pryseley

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