At 02:26 23/09/2013, peake wrote:
Thanks for the advice. Like I said, I am still pretty new to R, and stats
in general. I tried wading through the search results on google, but I
didn't really find anything that I could understand. I am working with
percentages as my dependent variable, and I am trying to get my
distribution as close to normal as possible. Is an arcsine transformation
even the correct choice for my data? Querying R for help usually leaves me
even more confused, so I was hoping someone could help me out by walking me
through the process.

Transforming proportions is something which people involved in meta-analysis of non-comparative studies often do. You might like to look in the manual for metafor (on CRAN) and the function escalc which has a range of options under non-comparative studies. You might also look at betareg (on CRAN).

I think you also need to find some local statistical support as your question is now less about R and more about statistics.



On Sun, Sep 22, 2013 at 8:00 PM, chuck.01 [via R] <
ml-node+s789695n4676708...@n4.nabble.com> wrote:

> ?asin
>
> also, try "Googling" anything you might want to do in R... it is there
>
> also, google... "R cheatsheet"  you will find several helpful sheets of
> useful functions.
>
>
>
> peake wrote
> I am tryin to perform an arcsine transformation on my data containig
> percentages as the dep. variable. Does anyone have a code that I could use
> to do that? I am relatively new to R. Thanks for your help!
>
>
>
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