[R] nlme Output

ONKELINX, Thierry Thierry.ONKELINX at inbo.be
Mon Sep 6 15:52:44 CEST 2010


Dear Edward,

You have no degrees of freedom left to estimate those p-values. Your
design does not allows for the model your implemented. We need a brief
summary of your design in order to help you further.

HTH,

Thierry

------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek
team Biometrie & Kwaliteitszorg
Gaverstraat 4
9500 Geraardsbergen
Belgium

Research Institute for Nature and Forest
team Biometrics & Quality Assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium

tel. + 32 54/436 185
Thierry.Onkelinx op inbo.be
www.inbo.be

To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher

The plural of anecdote is not data.
~ Roger Brinner

The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey
  

> -----Oorspronkelijk bericht-----
> Van: r-help-bounces op r-project.org 
> [mailto:r-help-bounces op r-project.org] Namens Edward Patzelt
> Verzonden: maandag 6 september 2010 15:43
> Aan: r-help op r-project.org
> Onderwerp: [R] nlme Output
> 
> Everyone -
> 
> What do the NaN's mean here?  Is this analysis a problem?
> 
> 
> Linear mixed-effects model fit by maximum likelihood
>  Data: tmp.dat
>        AIC      BIC    logLik
>   1611.251 1638.363 -797.6253
> 
> Random effects:
>  Formula: ~1 | group_id
>          (Intercept) Residual
> StdDev: 0.0003077668 9.236715
> 
> Fixed effects: AvgTrials ~ time + factor(group_id) + time *
> factor(group_id)
>                            Value Std.Error  DF   t-value p-value
> (Intercept)            18.159722  3.576664 213  5.077279  0.0000
> time                    4.192708  1.655674 213  2.532327  0.0121
> factor(group_id)2      -6.929563  5.235700   0 -1.323522     NaN
> factor(group_id)3      -1.654554  4.189575   0 -0.394922     NaN
> time:factor(group_id)2  1.729911  2.423658 213  0.713760  0.4762
> time:factor(group_id)3 -2.555111  1.939396 213 -1.317478  0.1891
>  Correlation:
>                        (Intr) time   fc(_)2 fc(_)3 t:(_)2
> time                   -0.926
> factor(group_id)2      -0.683  0.632
> factor(group_id)3      -0.854  0.790  0.583
> time:factor(group_id)2  0.632 -0.683 -0.926 -0.540
> time:factor(group_id)3  0.790 -0.854 -0.540 -0.926  0.583
> 
> Standardized Within-Group Residuals:
>        Min         Q1        Med         Q3        Max
> -1.8842754 -0.6979785 -0.3370998  0.5666704  3.0943948
> 
> Number of Observations: 219
> Number of Groups: 3
> Warning message:
> In pt(q, df, lower.tail, log.p) : NaNs produced
> 
> 	[[alternative HTML version deleted]]
> 
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> and provide commented, minimal, self-contained, reproducible code.
> 

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