Dear all, dear Greta and Michael,
thank you for your answers, I am indeed using the function forest (or
forest.rma, which gives the same result I think when I look up the
documentation through "help") from the package meta.
I use the rma() function from the metafor package to perform the
meta-analysis. I have read about the forestplot function from the
package named the same, and I tried to use it, but the first plot I
got with it was not that nice, so I went back to digging deeper into
the forest function from the package meta.
Special thanks Greta for the advice about the arguments col.study,
col.square, col.square.lines and col.inside, I was trying to use the
argument leftcols, without much success.
Have a nice day !
Norman
----- Mail d'origine -----
De: Gerta Ruecker <ruecker at imbi.uni-freiburg.de>
?: Michael Dewey <lists at dewey.myzen.co.uk>, Norman DAURELLE
<norman.daurelle at agroparistech.fr>, r-sig-meta-analysis at r-project.org
Envoy?: Wed, 03 Jun 2020 11:22:15 +0200 (CEST)
Objet: Re: [R-meta] adapting forest plot visual
I think he mentioned the meta package, therefore I provided an example
how to do it in meta. Disclaimer: I have often used it myself ;-)
Best,
Gerta
Am 03.06.2020 um 11:05 schrieb Michael Dewey:
Dear Norman
There is a package on CRAN called forestplot which claims to provide
comprehensive options for controlling the forest plot so if you cannot
find how to do it in your preferred package (which you do not name
incidentally) then it might be worth investigating. Disclaimer: I have
never used it myself.
Michael
On 02/06/2020 12:24, Norman DAURELLE wrote:
Dear list,I have now run a meta-analysis based on relationship slopes
between two variables and I am trying to make the forest plot easily
readable and understandable.I used the "order" parameter of the
forest function to order outcomes from lowest estimate on the first
line to highest estimate on the last line, but I would like to
display the outcomes that share a characteristic in the same colour (
for example, all effect-sizes coming from studies conducted in the
same country displayed in one colour ). I have been looking for a way
to do that in the documentation of the forest function of the meta
package, but there are a lot of arguments to that function and I
can't find one that does what I would like to do. It doesn't
necessarily have to be based on colour but if I can change the shape
of the square representing the effect sizes that come from the same
place for example that would also do the trick, even though colour is
more direct.Would you know of a way to do that ? Thank
? u !Norman
????[[alternative HTML version deleted]]