[R-meta] rma with already available pre-post changes; yi=yi
P. Roberto Bakker
robertobakker at gmail.com
Sat Oct 21 12:53:29 CEST 2017
Chapter 10 is about programming - interesting, I will check it out.
Thank you for your tip.
2017-10-21 10:19 GMT+02:00 Ken Beath <ken at kjbeath.com.au>:
> This is a basic R question. If the passed arguments align with the
> function definition (this can be obtained from the help) then it is not
> necessary to name them. If instead you want to pass them in a different
> order or leave them out then you must pass them by name. This also applies
> if they are not specified in the function but the function allows
> additional parameters, indicated by … The names of the variables that you
> pass to the function mean nothing.
> I suggest going to https://cran.r-project.org/manuals.html, downloading
> An Introduction to R for R-release and reading Chapter 10. The rest is
> quite useful as well.
> > On 21 Oct 2017, at 3:28 pm, P. Roberto Bakker <robertobakker at gmail.com>
> > Hi,
> > I want to meta-analyze pre-post change measures between treatment vs
> > placebo.
> > I got already delivered the Hedges g between the two arms and their SE
> > Hedges g.
> > So I used res <- rma(measure="SMCC", yi=yi, vi=vi, data=datsub, digits=2,
> > method = "REML")
> > My questions:
> > Do I need to use SMCC in rma()? I suppose 'measure=' is necessary in
> > escalc()
> > I see no difference in SMCC/SMCR etc. So I suppose it is not necessary. I
> > only use it for the forest() scale title.
> > Do I use yi=yi or just yi? As ask this because I was adviced in a former
> > mail to use sei=sei instead of sei, the same voor vi.
> > Bw
> > Roberto
> > [[alternative HTML version deleted]]
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