[R-meta] Spatial-temporal meta-analysis
Viechtbauer Wolfgang (SP)
wolfgang.viechtbauer at maastrichtuniversity.nl
Sat Nov 11 14:15:18 CET 2017
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.
>From: Rafael Rios [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; Michael Dewey
>Subject: RE: Spatial-temporal meta-analysis
>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? If I can do this, it will be amazing.
>Em 10 de nov de 2017 8:45 AM, "Viechtbauer Wolfgang (SP)"
><wolfgang.viechtbauer at maastrichtuniversity.nl> escreveu:
>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
>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?
>>From: Rafael Rios [mailto:biorafaelrm at gmail.com]
>>Sent: Thursday, 09 November, 2017 14:51
>>To: Viechtbauer Wolfgang (SP); r-sig-meta-analysis at r-project.org;
>>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
>>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 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
>>Rafael R. Moura.
>>Doutorando da Pós-graduação em Ecologia e Conservação de Recursos
>>Universidade Federal de Uberlândia, Uberlândia, MG, Brasil
>>Research Gate: https://www.researchgate.net/profile/Rafael_Rios_Moura2
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