[R-meta] adapting forest plot visual

Norman DAURELLE norm@n@d@ure||e @end|ng |rom @grop@r|@tech@|r
Thu Jun 4 08:18:26 CEST 2020

Hello again everyone, 
I tired to use the arguments that you suggested Gerta, (col.study, col.square, col.square.lines and col.inside),but every time I got the same result, with nothing changed from the original plot,and warnings that read " In segments(...) : "col.study" is not a graphical parameter ".I tried to run the example you gave me though, and it worked alright, even though there were many lines not fitting in the plot I believe, but I could see the different colours for each effect size or for groups of effect sizes.Also, I am working with an object that is the result of using the rma function from the package metafor, and I don't quite understand what difference exists between rma, meta, and robu objects.I used the robu() function to have a result that accounts for the fact that some of the studies I use provide multiple effect-sizes to my meta-analysis, as shown in the youtube video by Daniel Quintana explaining his 2015 article,"From pre-registration to publication : a non-technical primer for conducting a meta-analysis to synthesize correlational data".However, when I try to use the forest function with the robu object it doesn't work.Would you know what exactly differs between these rma, meta, and robu objects ?  I understand that they are the results of different functions, but they are supposed to be meta-analysis results, so in my mind they should have been of the same format, or at least I should still be able to use the robu object in the forest function since the forest plot is the main result of the meta-analysis. 
Do you have any advice ?Thank you !Norman

----- Mail d'origine -----
De: Norman DAURELLE <norman.daurelle using agroparistech.fr>
�: r-sig-meta-analysis using r-project.org
Cc: Michael Dewey <lists using dewey.myzen.co.uk>, ruecker using imbi.uni-freiburg.de
Envoy�: Thu, 04 Jun 2020 01:12:06 +0200 (CEST)
Objet: Re: [R-meta] adapting forest plot visual

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 !
----- Mail d'origine -----
De: Gerta Ruecker <ruecker using imbi.uni-freiburg.de>
�: Michael Dewey <lists using dewey.myzen.co.uk>, Norman DAURELLE <norman.daurelle using agroparistech.fr>, r-sig-meta-analysis using 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 ;-)
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 
> yo
>>   u !Norman
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Dr. rer. nat. Gerta R�cker, Dipl.-Math.
Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center - University of Freiburg
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Phone: +49/761/203-6673
Fax: +49/761/203-6680
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