At 15:47 25/07/2011, Joshua Wiley wrote:
Hi Martin,
Off hand I do not know of a pre-defined function to do it, but the
z-transformation is just the inverse hyperbolic function, the mean
is just the mean, and the back transformation is the hypoerbolic
function so...
x - c(.5, .4)
And at that point, one is essentially doing a meta-analysis. For example:
library(metafor)
ri - c(.5, .4)
ni - c(40, 25)
res - rma(ri=ri, ni=ni, measure=ZCOR, method=FE)
predict(res, transf=transf.ztor, digits=2)
pred se ci.lb ci.ub
0.46 NA 0.24 0.64
You also get the CI (in addition to
Hi,
is there a function in R that computes the mean of two (or more) correlations?
(that is doing the z-transformation of the correlations, computing the mean of
the z-values and then retransform it to a correlation).
Or is there a fisher-table implemented?
I have not found anything via
Hi Martin,
Off hand I do not know of a pre-defined function to do it, but the
z-transformation is just the inverse hyperbolic function, the mean
is just the mean, and the back transformation is the hypoerbolic
function so...
x - c(.5, .4)
tanh(mean(atanh(x)))
should do
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