[R] error message for function: lmer (from lme4 package)

Bert Gunter
2017-11-14T23:12:21Z

Still a complete mess!

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-- Bert



Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Tue, Nov 14, 2017 at 12:49 PM, Fix Ace via R-help <r-help at
r-project.org>
wrote:

> Hi, David,
> Thank you very much for getting back to me! Sorry about the messy code
> example. I am re-posting here (including the error message):
> > example.3=data.frame(levels=as.numeric(XXX[,c(4)]),
>
replicate=rep(c("0","1","2","3","4","5"),3),conditions=c(
> rep("11",6),rep("12",6),rep("13",6)))>
example.3    levels replicate
> conditions1  43.1111         0         112  42.0942         1         113
> 57.8131         2         114  57.1726         3         115  77.8678
>   4         116  44.7578         5         117  69.5078         0
> 128  52.0581         1         129  40.0602         2         1210 45.5487
>         3         1211 43.6201         4         1212 60.4939         5
>     1213 64.1932         0         1314 53.4055         1         1315
> 59.6701         2         1316 52.6922         3         1317 53.8712
>   4         1318 60.2770         5         13>
m.example.3=lmer(as.numeric(
> levels)~conditions+(conditions|replicate),data=example.3)Error: number of
> observations (=18) <= number of random effects (=18) for term
(conditions |
> replicate); the random-effects parameters and the residual variance (or
> scale parameter) are probably unidentifiable>
> Please let me know if it is readable this time.
> Again, many thanks for your time and please help me fix the issue.
> Kind regards,
> Ace
>
>     On Tuesday, November 14, 2017 12:19 PM, David Winsemius <
> dwinsemius at comcast.net> wrote:
>
>
>
> > On Nov 14, 2017, at 5:13 AM, Fix Ace via R-help <r-help at
r-project.org>
> wrote:
> >
> > Dear R Community,
> > My data have 3 conditions and each condition has 6 replicates. I am
> trying to fit my data for a linear mixed model using the lmer function from
> lme4 package to find the random effects of the replicates;
>
> Better venue for this question might be SIG-mixed-models. See the link
> avaialble at the bottom of every posting from rhelp:
>
> https://stat.ethz.ch/mailman/listinfo/r-help:
>
>
>
> > however, I got the error message. Here are the example codes:
> >> example.3=data.frame(levels=as.numeric(XXX[,c(4)]),
>
replicate=rep(c("0","1","2","3","4","5"),3),conditions=c(
> rep("11",6),rep("12",6),rep("13",6)))>
example.3    levels replicate
> conditions1  43.1111        0        112  42.0942        1        113
> 57.8131        2        114  57.1726        3        115  77.8678        4
>       116  44.7578        5        117  69.5078        0        128
> 52.0581        1        129  40.0602        2        1210 45.5487        3
>       1211 43.6201        4        1212 60.4939        5        1213
> 64.1932        0        1314 53.4055        1        1315 59.6701        2
>       1316 52.6922        3        1317 53.8712        4        1318
> 60.2770        5        13> m.example.3=lmer(as.numeric(
> levels)~conditions+(conditions|replicate),data=example.3)Error: number of
> observations (=18) <= number of random effects (=18) for term
(conditions |
> replicate); the random-effects parameters and the residual variance (or
> scale parameter) are probably unidentifiable>
> > Could anyone help me figure out how to fix the issue?
> > Thank you very much for any inputs!
> > Ace
> >
> >     [[alternative HTML version deleted]]
>
> Complete mess. If you haven't yet been advised to posting in plain
text,
> then this should be your wakeup call. If you have, then why are you
> ignoring sensible advice?
>
>
> >
> > ______________________________________________
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>
> David Winsemius
> Alameda, CA, USA
>
> 'Any technology distinguishable from magic is insufficiently
advanced.'
> -Gehm's Corollary to Clarke's Third Law
>
>
>
>
>
>
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
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