[R] how to specify starting values in varIdent() of lme()
toby909 at gmail.com
toby909 at gmail.com
Mon Jun 4 21:30:00 CEST 2007
Douglas Bates wrote:
> On 6/1/07, toby909 at gmail.com <toby909 at gmail.com> wrote:
>
>>I was reading the help but just did not get how to specify starting values for
>>varIdent() of the lme() function, although I managed to do it for corSymm().
>
>
>>Do I specify the values just as they are printed out in an output, like c(1,
>>1.3473, 1.0195). Or do I need to take the residual and multiply it with these
>>like c(0.2235, 0.2235*1.3473, 0.2235*1.0195)
>>or any other form that I dont know of?
>
>
> Strangely enough you specify it in the form described in
>
> ?varIdent
>
> Look at the description of the value argument.
>
Now the list knows how to find the help of the varIdent function.
For my situation, I think R does not like expressions like 2=1.94..., "2"
supposed to serve as label....
summary(m3 <- lme(score~timef-1, dtaa, ~timef-1|orgid, corSymm(svc,~1|orgid/id),
varIdent(c(1.94,1.05),~1|time),,,na.omit,lmeControl(1000,1000,,,2000,,,1,1)))
Error in varIdent(c(1.94, 1.05), ~1 | time) :
Initial values must have group names in varIdent
summary(m3 <- lme(score~timef-1, dtaa, ~timef-1|orgid, corSymm(svc,~1|orgid/id),
varIdent(c(2=1.94,3=1.05),~1|time),,,na.omit,lmeControl(1000,1000,,,2000,,,1,1)))
Error: syntax error in "summary(m3 <- lme(score~timef-1, dtaa, ~timef-1|orgid,
corSymm(svc,~1|orgid/id), varIdent(c(2="
Without starting values:
Linear mixed-effects model fit by REML
Data: dtaa
AIC BIC logLik
-697.0142 -601.366 363.5071
Random effects:
Formula: ~timef - 1 | orgid
Structure: General positive-definite, Log-Cholesky parametrization
StdDev Corr
timef1 0.02974621 timef1 timef2
timef2 0.05790348 0.923
timef3 0.03745570 0.921 0.999
Residual 0.22385809
Correlation Structure: General
Formula: ~1 | orgid/id
Parameter estimate(s):
Correlation:
1 2
2 0.503
3 0.578 0.475
Variance function:
Structure: Different standard deviations per stratum
Formula: ~1 | time
Parameter estimates:
1 2 3
1.000000 1.411556 1.002088
Fixed effects: score ~ timef - 1
Value Std.Error DF t-value p-value
timef1 -0.3813594 0.006800189 4253 -56.08070 0
timef2 -0.2551952 0.010747688 4253 -23.74419 0
timef3 -0.3939206 0.007296932 4253 -53.98441 0
Correlation:
timef1 timef2
timef2 0.625
timef3 0.675 0.666
Standardized Within-Group Residuals:
Min Q1 Med Q3 Max
-1.1898841 -0.5756576 -0.4576534 0.2810892 4.1498533
Number of Observations: 4347
Number of Groups: 92
>
>>Thanks Toby
>>
>>
>>
>>
>>
>>Linear mixed-effects model fit by REML
>> Data: dtaa
>> AIC BIC logLik
>> -788.783 -692.5656 409.3915
>>
>>Random effects:
>> Formula: ~timef - 1 | orgid
>> Structure: General positive-definite, Log-Cholesky parametrization
>> StdDev Corr
>>timef1 0.04398482 timef1 timef2
>>timef2 0.07910354 1
>>timef3 0.03648411 1 1
>>Residual 0.22350583
>>
>>Correlation Structure: General
>> Formula: ~1 | orgid/id
>> Parameter estimate(s):
>> Correlation:
>> 1 2
>>2 0.487
>>3 0.597 0.440
>>Variance function:
>> Structure: Different standard deviations per stratum
>> Formula: ~1 | time
>> Parameter estimates:
>> 1 2 3
>>1.000000 1.347341 1.019529
>>Fixed effects: score ~ timef - 1
>> Value Std.Error DF t-value p-value
>>timef1 -0.3846847 0.007627811 4421 -50.43186 0
>>timef2 -0.2727646 0.012012786 4421 -22.70619 0
>>timef3 -0.3961244 0.007180147 4421 -55.16939 0
>> Correlation:
>> timef1 timef2
>>timef2 0.735
>>timef3 0.746 0.670
>>
>>Standardized Within-Group Residuals:
>> Min Q1 Med Q3 Max
>>-1.4659548 -0.5982929 -0.4096429 0.3101507 4.0911728
>>
>>Number of Observations: 4515
>>Number of Groups: 92
>>
>>______________________________________________
>>R-help at stat.math.ethz.ch 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.
>>
>
>
> ______________________________________________
> R-help at stat.math.ethz.ch 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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