[R-meta] Spatial-temporal meta-analysis
Michael Dewey
lists at dewey.myzen.co.uk
Mon Nov 13 10:46:07 CET 2017
Dear Rafael
It might help to have just a sentence or two about the scientific
question here as I (and perhaps others) am not quite clear what your
phrase "variation in average effect size is greater than zero" means.
Michael
On 12/11/2017 17:08, Rafael Rios wrote:
> Dear Wolfgang,
>
> Thank you for the attention. My data set follows on attached (CSV file).
> When we found more than one season (three, for instance), we wrote "3"
> in the "season" column. Follow, we identified seasons as "1", "2" and
> "3" in the "class_season" column corresponding to each effect size. When
> there was only one season, we wrote "1" in the season column and "0" in
> the class_season column. We adopted the same procedure for the "pop" and
> "pop_class" columns corresponding to data about one or more populations.
> We also used as random variables "study" and "species". How may I do a
> random effects model to evaluate if variation in average effect size is
> greater than zero?
>
> Abraço,
>
> Rafael R. Moura.
> /scientia amabilis/
>
> Doutorando da Pós-graduação em Ecologia e Conservação de Recursos Naturais
> Universidade Federal de Uberlândia, Uberlândia, MG, Brasil
>
> ORCID: http://orcid.org/0000-0002-7911-4734
> Currículo Lattes:
> http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4244908A8
> Research Gate: https://www.researchgate.net/profile/Rafael_Rios_Moura2
>
>
> <http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4244908A8>
>
> 2017-11-11 11:15 GMT-02:00 Viechtbauer Wolfgang (SP)
> <wolfgang.viechtbauer at maastrichtuniversity.nl
> <mailto:wolfgang.viechtbauer at maastrichtuniversity.nl>>:
>
> Dear Rafael,
>
> What exactly do you mean by 'temporal categories'? It might also
> help to show (part of) your data to clarify what your data really
> look like.
>
> Best,
> Wolfgang
>
> >-----Original Message-----
> >From: Rafael Rios [mailto:biorafaelrm at gmail.com <mailto:biorafaelrm at gmail.com>]
> >Sent: Friday, 10 November, 2017 13:37
> >To: Viechtbauer Wolfgang (SP)
> >Cc: r-sig-meta-analysis at r-project.org
> <mailto:r-sig-meta-analysis at r-project.org>; Michael Dewey
> >Subject: RE: Spatial-temporal meta-analysis
> >
> >Dear Wolfgang,
> >
> >Thank you for the reply. I am sorry to complicate something that
> should
> >be simple. I want to evaluate if the effect size vary throughout the
> >time, for example. Therefore, I thought to use a measure that estimate
> >such temporal variation in effect size, like CV. I did not consider to
> >use temporal categories as a moderator because I have different
> >categories for each species. For instance, I have three effect
> sizes for
> >three breeding seasons in a species, while I have twelve measures for
> >another species. Even in this situation, may I use temporal
> categories in
> >the function rma.mv <http://rma.mv>? If I can do this, it will be
> amazing.
> >
> >Best wishes,
> >
> >Rafael.
> >
> >Em 10 de nov de 2017 8:45 AM, "Viechtbauer Wolfgang (SP)"
> ><wolfgang.viechtbauer at maastrichtuniversity.nl
> <mailto:wolfgang.viechtbauer at maastrichtuniversity.nl>> escreveu:
> >Dear Rafael,
> >
> >It is still not really clear to me what want to do. You say that
> you want
> >to "use coefficient of variance (CV) and number of replicates in
> rma.mv <http://rma.mv>
> >function of metafor package to built a random model controlling
> >phylogenetic signal". I have no idea what that means, so I cannot
> say if
> >this approach is appropriate or not.
> >
> >When you say that you want to examine if effect sizes vary in
> space and
> >time, then why not include some measure of time and some measure of
> >location in the model as predictors/moderators?
> >
> >Best,
> >Wolfgang
> >
> >>-----Original Message-----
> >>From: Rafael Rios [mailto:biorafaelrm at gmail.com
> <mailto:biorafaelrm at gmail.com>]
> >>Sent: Thursday, 09 November, 2017 14:51
> >>To: Viechtbauer Wolfgang (SP); r-sig-meta-analysis at r-project.org
> <mailto:r-sig-meta-analysis at r-project.org>;
> >Michael
> >>Dewey
> >>Subject: Spatial-temporal meta-analysis
> >>
> >>Dear Wolfgang and All,
> >>
> >>I am still working on an approach to evaluate variations in
> effect sizes
> >>in space and time. I have several replicates of effect sizes
> (Fisher's
> >Z)
> >>in different populations and/or breeding seasons for each species. My
> >>hypothesis is that effect size varies in space and time. Then, I
> want to
> >>use a random model to evaluate if a estimative of variation in effect
> >>size is high when compared to a null model. I am wondering if I
> can use
> >>coefficient of variance (CV) and number of replicates in rma.mv
> <http://rma.mv> function
> >>of metafor package to built a random model controlling phylogenetic
> >>signal. Do you agree with my approach or suggest to use another
> measure
> >>of variation in replicates of effect size or a different estimate of
> >>weight?
> >>
> >>Best wishes,
> >>
> >>Rafael R. Moura.
> >>scientia amabilis
> >>
> >>Doutorando da Pós-graduação em Ecologia e Conservação de Recursos
> >>Naturais
> >>Universidade Federal de Uberlândia, Uberlândia, MG, Brasil
> >>
> >>ORCID: http://orcid.org/0000-0002-7911-4734
> <http://orcid.org/0000-0002-7911-4734>
> >>Currículo
> >>Lattes:
> http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4244
> <http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4244>
> >9
> >>08A8
> >>Research Gate:
> https://www.researchgate.net/profile/Rafael_Rios_Moura2
> <https://www.researchgate.net/profile/Rafael_Rios_Moura2>
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Michael
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