getting stuck with a
confusing error message sent earlier I don't understand.
Best,
Anne
-Message d'origine-
De : Michael Dewey [mailto:li...@dewey.myzen.co.uk]
Envoyé : lundi, 26 août 2019 18:29
À : Marc Schwartz ; CHATTON Anne
Cc : R-help
Objet : Re: [R] Code modificati
confusing error
message sent earlier I don't understand.
Best,
Anne
-Message d'origine-
De : Michael Dewey [mailto:li...@dewey.myzen.co.uk]
Envoyé : lundi, 26 août 2019 18:29
À : Marc Schwartz ; CHATTON Anne
Cc : R-help
Objet : Re: [R] Code modification for post-hoc power
Dea
yzen.co.uk]
Envoyé : lundi, 26 août 2019 18:29
À : Marc Schwartz ; CHATTON Anne
Cc : R-help
Objet : Re: [R] Code modification for post-hoc power
Dear Anne
In addition to Marc's comments if you are forced to do this then, assuming your
package computes sample size from power then just fee
That doesn't work. In caricature, post-hoc power is
- I observe a difference of nearly zero
- However, to find a significant difference of that size I'd need 20
observations
- I only used 100 observations
- Therefore my study is useless and can be discarded
(or: I calculate the probability
Dear Anne
In addition to Marc's comments if you are forced to do this then,
assuming your package computes sample size from power then just feed it
a range of powers and find the one for which it calculates the sample
size you had. There is a more elegant way to do this using uniroot but
brut
> On Aug 26, 2019, at 6:24 AM, CHATTON Anne via R-help
> wrote:
>
> Hello everybody,
>
> I am trying to accommodate the R codes provided by Donohue for sample size
> calculation in the package "longpower" with lmmpower function to estimate the
> post-hoc power (asked by a reviewer) of a bin
Hello everybody,
I am trying to accommodate the R codes provided by Donohue for sample size
calculation in the package "longpower" with lmmpower function to estimate the
post-hoc power (asked by a reviewer) of a binary GEE model with a three-way
interaction (time x condition x continuous predic
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