[R-meta] Robvis - how to work with it and metafor

[Andrzej Andrzej]

Dear Wolfgang,
thank you for clarification.
I misunderstood for what Robvis was created. I thought it was there to
assess and help with publication bias and not to add a few coloured circles
to the forest plot.I found this: DOI: 10.1111/2041-210X.13724 and will
study it.
best,
Andrzej

wt., 7 lis 2023 o 10:50 Viechtbauer, Wolfgang (NP) <
wolfgang.viechtbauer using maastrichtuniversity.nl> napisał(a):

> Dear Andrzej,
>
> Please post in plain text (note how the code in your post below is quite
> mangled up).
>
> I am not sure if I quite understand your questions, but 'dat_rob' was
> created to illustrate how to add risk of bias assessments to a forest plot.
> It was created with rob_dummy(), which just simulates some RoB values for a
> given dataset for illustration purposes:
>
> https://mcguinlu.github.io/robvis/reference/rob_dummy.html
>
> As for that book chapter: The spreadsheet contains the RoB assessments for
> the dataset used in their example. Not sure what else to say about this.
>
> Best,
> Wolfgang
>
> > -----Original Message-----
> > From: R-sig-meta-analysis <r-sig-meta-analysis-bounces using r-project.org>
> On Behalf
> > Of Andrzej Andrzej via R-sig-meta-analysis
> > Sent: Sunday, November 5, 2023 12:50
> > To: R Special Interest Group for Meta-Analysis <r-sig-meta-analysis using r-
> > project.org>
> > Cc: Andrzej Andrzej <xaf3111.developers using gmail.com>
> > Subject: [R-meta] Robvis - how to work with it and metafor
> >
> > Hi,
> > I have read this:
> > https://mcguinlu.github.io/robvis/articles/metafor.html
> > There is a step in it like:
> > ```
> >
> > # Create some example data for ROB2 using rob_dummy(), and add it to
> > the BCG# data.# We don't need a "Study" column for this example, so we
> > set `study = FALSE`dat_rob <- rob_dummy
> > <https://mcguinlu.github.io/robvis/reference/rob_dummy.html>(13,
> >                "ROB2",                     study = FALSE)dat_analysis
> > <- cbind <https://rdrr.io/r/base/cbind.html>(dat_bcg, dat_rob)
> >
> > ```
> > Why dat_rob was created and attached to dat_bcg ?
> > What is this for ? Is it only an example to show coloured visualisation ?
> > Or does it thoroughly calculating ROB for bcg.data ?
> > And here:
> >
> https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/risk-of-bias-
> > plots.html
> > they described an excel table with some data to be created before
> importing
> > it to R.
> > Anybody knows what is this about ?
> > best,
> > Andrzej
>

	[[alternative HTML version deleted]]