[R-meta] adapting forest plot visual
Dear Norman There are many packages which perform meta-analysis in one form or another, there are 100+ on CRAN, so it is unlikely that they will result in objects with the same format. Since the R way is to access the results of the fit using the extractor functions the authors are entitled to change the internals as much as they like. I suggest that for a given analysis you choose one of meta or metafor and stick to it as far as possible. Michael
On 04/06/2020 07:18, Norman DAURELLE wrote:
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 at agroparistech.fr> ?: r-sig-meta-analysis at r-project.org Cc: Michael Dewey <lists at dewey.myzen.co.uk>, ruecker at 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 ! 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
> yo
>> ? u !Norman >> ????[[alternative HTML version deleted]] >> >> _______________________________________________ >> R-sig-meta-analysis mailing list >> R-sig-meta-analysis at r-project.org >> https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis >>
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