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
i...@aghmed.fsnet.co.uk
http://www.aghmed.fsnet.co.uk/home.html
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
