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

Dear Mark

Please keep the list copied in. Comments in-line
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 at 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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[R-meta] meta-analysis of data summarised as means and SD

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