Dear Christos,
Maybe you should read it before using Egger's test :
http://www.cienciasinseso.com/en/tag/eggers-test/If you still want to perform
Egger's test, use metafor : R: Test for funnel plot asymmetry
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| R: Test for funnel plot asymmetrymetabias.meta {meta} R Do
Hi Timo,
To perform the first point, you just have to write the function name in R
without using parentheses and arguments after it. You will see the code of the
function. Copy and Paste it on notepad, change the name of the function in the
notepad, then change what you want to change in your fu
Dear Steven,
I understand your request now. Maybe you could try to change the function lm
and create another function enabling you to have the information you want
really quickly.
Use lm() to see the code of this command and change this one marginally to get
what you want to. Once this is done,
Hi again,
In fact the pwr package do not provide exact test power. So you should
definitely use g*power.
Sincerely,
Adrien.
De : Munjal Patel
À : r-help@r-project.org
Envoyé le : Mardi 7 juin 2016 18h26
Objet : [R] Power Calculation:2-sided exact equivalence test for Binomial
Proporti
Dear Munjal,
You should use the pwr package with the following code :library(pwr)
# lower
pwr.2p.test(h =ES.h(0.3, 0.2), n = 500, sig.level = 0.05, power = NULL,
alternative = c("two.sided"))#upperpwr.2p.test(h =ES.h(0.3, 0.4), n = 500,
sig.level = 0.05, power = NULL, alternative = c("two.sided")
Good day,
I was performing a power analysis of articles published in a journal of
management using the pwr package in R. However, it seemed to be impossible to
compute power for small, medium and large Effect Size for multiple ordinal
logistic regression output. I have tried using G*power, but i
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