[R-sig-ME] MCMCglmm and phylogeny - huge variance problem
Szymek Drobniak
geralttee at gmail.com
Wed Jul 6 17:27:35 CEST 2011
Hi,
I tried compute.brlen but this works fine and computes branch lengths
without any problem. I've used such trees before (without branch
lengths, just topology) and they worked. Is it possible that this
"duplicated levels" thing messes with everything?
sz.
On 6 July 2011 17:11, Jarrod Hadfield <j.hadfield at ed.ac.uk> wrote:
> Hi,
>
> There seems to be something amiss with the tree. Do you expect there to
> be branch lengths? Do you get warning messages outside of MCMCglmm if
> you use compute.brlen on the phylogeny?
>
> Jarrod
>
>
> On Wed, 2011-07-06 at 16:45 +0200, Szymek Drobniak wrote:
>> Dear mixed modellers,
>>
>> I'm trying to fit a comparative meta-analysis and everything's fine
>> but I'm getting several warnings (some of which I don't quite
>> understand and can't tell if they're causing the problem) and a weird
>> result with huge animal (ergo phylogeny-related) variance. Below is
>> the model and the prior, and of course the output with summary. Any
>> idea if this huge variance might be due to these warnings (relating
>> to the tree I guess) or due to the data (which has has high variance
>> anyway). Could prior expansion fix these problems?
>>
>> Szymek
>>
>>
>> #########(code)
>>
>> prior.fil <- list(R=list(V=1,n=0.002),
>> G=list(G1=list(V=1,n=0.002),G2=list(V=1,n=0.002),G3=list(V=1,n=0.002)))
>>
>> meta.fil <- MCMCglmm(Zr~1, random=~ref+repeat+animal, prior=prior.fil,
>> pedigree=tree, mev=data$mev, data=data, verbose=F,
>> nitt=3000000, burnin=1000000, thin=800)
>>
>>
>> ###########(summary of the model)
>>
>> Iterations = 100001:4999501
>> Thinning interval = 500
>> Sample size = 9800
>>
>> DIC: 256.8579
>>
>> G-structure: ~ref
>>
>> post.mean l-95% CI u-95% CI eff.samp
>> ref 0.03544 0.0002057 0.1017 9800
>>
>> ~repeat.
>>
>> post.mean l-95% CI u-95% CI eff.samp
>> repeat. 0.01121 0.0001536 0.04053 9800
>>
>> ~animal
>>
>> post.mean l-95% CI u-95% CI eff.samp
>> animal 3.765e+15 1.450e+15 4.504e+15 9507
>>
>> R-structure: ~units
>>
>> post.mean l-95% CI u-95% CI eff.samp
>> units 0.2345 0.1703 0.3107 9502
>>
>> Location effects: Zr ~ 1
>>
>> post.mean l-95% CI u-95% CI eff.samp pMCMC
>> (Intercept) -740.7 -453419.4 464404.3 9800 0.988
>> >
>>
>> ############(warnings)
>>
>> Warning messages:
>> 1: In inverseA(pedigree, nodes = nodes, scale = scale) :
>> no branch lengths: compute.brlen from ape has been used
>> 2: In `levels<-`(`*tmp*`, value = c("JJJ", "DDD", "III", "GGG", "", :
>> duplicated levels will not be allowed in factors anymore
>> 3: In MCMCglmm(Zr ~ 1, random = ~ref + repeat. + animal, prior = prior.fil, :
>> some combinations in animal do not exist and 50 missing records have
>> been generated
>> 4: In `[<-.data.frame`(`*tmp*`, dim(data)[1] -
>> (dim(missing.combinations)[1] - :
>> provided 50 variables to replace 2 variables
>> 5: In `[<-.factor`(`*tmp*`, iseq, value = c("JJJ", "1", "JJJ", "1", :
>> invalid factor level, NAs generated
>> 6: In `levels<-`(`*tmp*`, value = c("JJJ", "DDD", "III", "GGG", "", :
>> duplicated levels will not be allowed in factors anymore
>>
>
>
>
> --
> The University of Edinburgh is a charitable body, registered in
> Scotland, with registration number SC005336.
>
>
--
Szymon Drobniak || Population Ecology Group
Institute of Environmental Sciences, Jagiellonian University
ul. Gronostajowa 7, 30-387 Kraków, POLAND
tel.: +48 12 664 52 19 fax: +48 12 664 69 12
www.eko.uj.edu.pl/drobniak
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