Thank you very much Wolfgang and Michael for your help and information.
Now I know how to get the predicted values.

For information, my "mean" is the effect size for the one-sample-case. Obviously I used misleading labels, but I calculated the same with CMA and getting the same results, so it should be okay.

Best wishes,
Alma




On Friday, December 6, 2013 3:10 PM, Michael Dewey <info@aghmed.fsnet.co.uk> wrote:
 
At 21:05 05/12/2013, Alma Wilflinger wrote:
>Hi,
>
>I am struggling a bit with creating a forest plot containing the 
>predicted effect size. As seen in other studies these effect sizes 
>are shown per study usually as a light grey diamond - which is what 
>I want to achieve.
>
>The calls I use are:
>iat_result = rma(yi=Mean, vi=Variance_rounded, ni=N, sei=Std_error, 
>slab=Study_Name, subset=(Country == "AUT"), data=cma_iat, method="HS")

Alma
You do not need to specify both vi and sei as one is sufficient and 
you do not need ni as well.
I realise that is not the question you asked (which Wolfgang has 
already answered).


>summary.rma(iat_result)
>
>
>#not sure how to use it or if needed
>#predict(iat_result)
>
>forest(iat_result)
>
>
>At the end I am getting the forest plot as is without the predicted values.
>
>I am not sure if I need the predict function and how to use it? - 
>the predict function deliveres the same values as already computed 
>in the rma object.
>
>
>I checked the manual for package metafor but was not able to find 
>out how to print the predicted values per study.
>
>
>kind regards, Alma
>         [[alternative HTML version deleted]]

Michael Dewey
info@aghmed.fsnet.co.uk
http://www.aghmed.fsnet.co.uk/home.html
	[[alternative HTML version deleted]]

