[R-meta] integrating SMD, ZCOR and ZPCOR

Dear all,

With the "escalc" function I calculated different effect sizes depending on the existing data (SMD, ZCOR, ZPCOR). For obtaining overall effects, can I treat the resulting yi in the same way? I mean, can I just integrate them in my random effect model by the "rma.uni" function without specifying what kind of effect size it is?

And how to interpret resulting overall effect sizes? Can these be interpreted like Cohen's d?

Kind regards,
Katrin

-----Urspr?ngliche Nachricht-----
Von: R-sig-meta-analysis <r-sig-meta-analysis-bounces at r-project.org> Im Auftrag von r-sig-meta-analysis-request at r-project.org
Gesendet: Donnerstag, 23. August 2018 09:28
An: r-sig-meta-analysis at r-project.org
Betreff: R-sig-meta-analysis Digest, Vol 15, Issue 32

Send R-sig-meta-analysis mailing list submissions to
	r-sig-meta-analysis at r-project.org

To subscribe or unsubscribe via the World Wide Web, visit
	https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis
or, via email, send a message with subject or body 'help' to
	r-sig-meta-analysis-request at r-project.org

You can reach the person managing the list at
	r-sig-meta-analysis-owner at r-project.org

When replying, please edit your Subject line so it is more specific than "Re: Contents of R-sig-meta-analysis digest..."

Today's Topics:

   1. weights in forest plot (Antonia Sudkaemper)
   2. Re: weights in forest plot (Viechtbauer, Wolfgang (SP))
   3. Re: weights in forest plot (Antonia Sudkaemper)
   4. Re: weights in forest plot (Michael Dewey)
   5. Implementation of the Inverse variance heterogeneity model
      (Suhail Doi)

----------------------------------------------------------------------

Message: 1
Date: Wed, 22 Aug 2018 11:05:23 +0100
From: Antonia Sudkaemper <a.sudkaemper at gmail.com>
To: r-sig-meta-analysis at r-project.org
Subject: [R-meta] weights in forest plot
Message-ID:
	<CAPQcPuhsKj1uBvRUFZw3E5_VR25TLRL4_yZEXTRWZ+4ZWBjGdw at mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

Hello metafor users,

I am currently making a forest plot for a meta-analysis, I am using forest.default and am using vectors with the effect size, low CI, high CI as input.

 I have been wondering whether there is a possibility to also display the weights used for each study? A colleague suggested to do this via the little squares that display the effect sizes, but I am not sure how that would work - any ideas?

I found the "showweights" function, but when I set it to TRUE all values displayed are "0"- how can I enter a vector with the different weights per study?

Thank you very much for your help.

All the best, Antonia

--
Antonia Sudk?mper
PhD Candidate in Organizational Psychology/University of Exeter www.antoniasudkaemper.com a.sudkaemper at gmail.com

------------------------------

Message: 2
Date: Wed, 22 Aug 2018 10:59:49 +0000
From: "Viechtbauer, Wolfgang (SP)"
	<wolfgang.viechtbauer at maastrichtuniversity.nl>
To: Antonia Sudkaemper <a.sudkaemper at gmail.com>,
	"r-sig-meta-analysis at r-project.org"
	<r-sig-meta-analysis at r-project.org>
Subject: Re: [R-meta] weights in forest plot
Message-ID: <2817483ac4f649be844b7d3922a44d3d at UM-MAIL3213.unimaas.nl>
Content-Type: text/plain; charset="utf-8"

Hi Antonia,

This works just fine for me:

yi <- c(.23, .55, .33)
sei <- rep(.1, 3)
ci.lb <- yi - 1.96*sei
ci.ub <- yi + 1.96*sei
forest(yi, ci.lb=ci.lb, ci.ub=ci.ub, showweights=TRUE, alim=c(0,1), refline=NA)

Best,
Wolfgang

-----Original Message-----
From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces at r-project.org] On Behalf Of Antonia Sudkaemper
Sent: Wednesday, 22 August, 2018 12:05
To: r-sig-meta-analysis at r-project.org
Subject: [R-meta] weights in forest plot

Hello metafor users,

I am currently making a forest plot for a meta-analysis, I am using forest.default and am using vectors with the effect size, low CI, high CI as input.

 I have been wondering whether there is a possibility to also display the weights used for each study? A colleague suggested to do this via the little squares that display the effect sizes, but I am not sure how that would work - any ideas?

I found the "showweights" function, but when I set it to TRUE all values displayed are "0"- how can I enter a vector with the different weights per study?

Thank you very much for your help.

All the best, Antonia

--
Antonia Sudk?mper
PhD Candidate in Organizational Psychology/University of Exeter www.antoniasudkaemper.com a.sudkaemper at gmail.com

------------------------------

Message: 3
Date: Wed, 22 Aug 2018 14:36:05 +0100
From: Antonia Sudkaemper <a.sudkaemper at gmail.com>
To: "Viechtbauer, Wolfgang (SP)"
	<wolfgang.viechtbauer at maastrichtuniversity.nl>
Cc: r-sig-meta-analysis at r-project.org
Subject: Re: [R-meta] weights in forest plot
Message-ID:
	<CAPQcPuh50gWu883k8pskWxVyZbK45MV8DjkM5aYje-GTmF3cLw at mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

Thank you very much, Wolfgang - this worked very well! (Previously I had
not specified the standard error, hence it didn't work...)

I have to follow-up questions, however.

1) How can I add a summary polygon to this plot indicating the Mean
Weighted Effect Size at the bottom of the plot, as is done automatically
when using the forest.rma function?

2) (How) Can I adjust the space between the rows? I am asking as I am
producing two different plots for the same study and I would like them to
look similar. One of the plots includes a lot more studies than the other
one though, and hence the space between the rows varies. Can I change this
so that the plots look similar?

Again, thank you so much for your help! All the best, Antonia

On Wed, 22 Aug 2018 at 12:00, Viechtbauer, Wolfgang (SP) <

[R-meta] integrating SMD, ZCOR and ZPCOR

Thread (2 messages)