Dear Sebastian,
Many researchers may transform the Pearson coefficients into Fisher's
z scores first by using
z <- 0.5*log((1+r)/(1-r)).
The standard errors of the Fisher's z scores are z.SE <- 1/sqrt(n-3)
where n are the sample sizes (see
http://en.wikipedia.org/wiki/Fisher_transformation).
Eit
Sebastian Stegmann schrieb:
[...]
The R packages "meta" and "rmeta" are, as far as I can see, set up for
analysis with effect sizes for differences (i.e. comparison of the
means/odds-ratios of experimental and control group).
Only the function "metagen" from the "meta"-package looks like it
Dear R-Community,
I'm currently trying to find a way to conduct a meta-analysis in R.
I would like to analyze data from mostly-cross-sectional survey-studies. The
effect sizes would be correlations.
The R packages "meta" and "rmeta" are, as far as I can see, set up for
analysis with effect sizes
3 matches
Mail list logo
