[R-meta] meta-analysis of data summarised as means and SD

[Michael Dewey]

Dear Mark

Please keep the list copied in. Comments in-line

On 31/01/2024 19:51, mark walton wrote:
> That is correct, metamean is part of the meta package, but as far as I 
> can work out metamean in the only programme in either the meta or 
> metafor packages that can deal with data summarised as means, standard 
> deviations and sample number.

I am afraid your understanding is not correct. If you have an estimate 
(in your case a mean) and its standard error (which you can calculate 
from the standard deviation and sample size) then there are several 
packages capable of doing the analysis including metafor and, as Guido 
has pointed out in a separate e-mail, meta.

Michael


  However, metamean can only handle single
> factor analysis so it can tell me is microplastics occur in higher 
> density in Asia than North and South America but not if tropical regions 
> in Asia and the America have higher densities than temperate regions.
> 
> So I am looking for an alternative to metamean that will allow two or 
> more factors to be analysed at the same time and can handle summarised data.
> 
> Thanks
> Mark
> 
> On Wednesday, 31 January 2024 at 18:00:23 CET, Michael Dewey 
> <lists using dewey.myzen.co.uk> wrote:
> 
> 
> Dear Mark
> 
> The two main packages for that sort of thing are meta or metafor.
> 
> Michael
> 
> On 31/01/2024 14:25, mark walton via R-sig-meta-analysis wrote:
>  > Hi
>  > I wonder if anyone can suggest a way of looking at the impacts of various
>  > factors (eg habitat, climatic zone, analysis method, minimum particle
>  > detection size) on the sampled microplastic densities? My data is already
>  > summarised as mean and SD for each study.
>  > I was using the "metamean" package but this can only look at a single
>  > factor at a time.
>  > Thanks
>  > Mark
>  >
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> -- 
> Michael
> 
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Michael