[R-meta] Putting pooled effects from different multilevel meta analyses into the same forest plot

Sun, Dec 20, 2020 2:46 PM

Apologies for not CC?ing the mailing list.



As a last question, is there a way for me to make each of these polygons a different colour as opposed to all the same:



forest(c(coef(m.overall), coef(m.overall2), coef(m.overall3)),

       c(vcov(m.overall), vcov(m.overall2), round(vcov(m.overall3), digits = 3)),

       slab=c("Threat (k=23)", "Deprivation (k=14)", "Composite (k=77)"),

       header=c("Cognitive Flexibility", "Hedge's g [95% CI]"), xlab="Hedge's g",

       top=2, refline=NA, xlim=c(-3,1), at=log(c(.2, .5, 1)), psize=1, efac=0)



addpoly(c(coef(m.overall), coef(m.overall2), coef(m.overall3)),

        c(vcov(m.overall), vcov(m.overall2), vcov(m.overall3)),

        rows=3:1, efac=2, annotate=FALSE, col = 2)







Dylan Johnson, MSc

MA Student, School and Clinical Child Psychology
Department of Applied Psychology and Human Development

University of Toronto
252 Bloor Street West

Toronto, ON M5S 1V6



From: Viechtbauer, Wolfgang (SP)<mailto:wolfgang.viechtbauer at maastrichtuniversity.nl>
Sent: December 20, 2020 3:26 PM
To: Dylan Johnson<mailto:dylanr.johnson at mail.utoronto.ca>
Cc: R meta<mailto:r-sig-meta-analysis at r-project.org>
Subject: RE: Putting pooled effects from different multilevel meta analyses into the same forest plot



EXTERNAL EMAIL:

Please always cc the mailing list when replying.

You could use addpoly() to draw the polygons on top. Continuing with the example:

addpoly(c(coef(res.r), coef(res.n), coef(res)),
        c(vcov(res.r), vcov(res.n), vcov(res)),
        rows=3:1, efac=2, annotate=FALSE)

Best,
Wolfgang

-----Original Message-----
From: Dylan Johnson [mailto:dylanr.johnson at mail.utoronto.ca]
Sent: Sunday, 20 December, 2020 20:38
To: Viechtbauer, Wolfgang (SP)
Subject: RE: Putting pooled effects from different multilevel meta analyses
into the same forest plot

Thanks for the script, I managed to get it working!

Do you know if there is any way to get them to show up with the diamond
shape plotted instead of the squares? They are technically pooled effects so
I think it would hammer that home better.

Thanks!

Dylan

Dylan Johnson, MSc
MA Student, School and Clinical Child Psychology
Department of Applied Psychology and Human Development
University of Toronto
252 Bloor Street West
Toronto, ON M5S 1V6

From: Viechtbauer, Wolfgang (SP)
Sent: December 20, 2020 6:59 AM
To: Dylan Johnson; r-sig-meta-analysis at r-project.org
Subject: RE: Putting pooled effects from different multilevel meta analyses
into the same forest plot

Hi Dylan,

Here is an example using rma(), but the same principle applies to models
fitted with rma.mv().

dat <- dat.bcg
dat <- escalc(measure="RR", ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat)
res   <- rma(yi, vi, data=dat)
res.r <- rma(yi, vi, data=dat, subset=alloc=="random")
res.n <- rma(yi, vi, data=dat, subset=alloc!="random")

dev.new(width=10, height=6)
forest(c(coef(res.r), coef(res.n), coef(res)),
      c(vcov(res.r), vcov(res.n), vcov(res)),
      slab=c("With Random Assignment", "Without Random Assignment", "All
Studies"),
      header=c("Subset", "Risk Ratio [95% CI]"), xlab="Risk Ratio (log
scale)",
      top=2, refline=NA, xlim=c(-3,1), atransf=exp, at=log(c(.2, .5, 1)),
psize=1, efac=0)

Best,
Wolfgang

-----Original Message-----
From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces at r-

project.org]

On Behalf Of Dylan Johnson
Sent: Sunday, 20 December, 2020 2:01
To: r-sig-meta-analysis at r-project.org
Subject: [R-meta] Putting pooled effects from different multilevel meta
analyses into the same forest plot

Hello,

I am currently using the rma.mv function to carry out my metas and would
like to display two pooled subgroups from one of them and an additional
pooled estimate from another.

Is there anyways to go about doing this?

Many thanks!

Dylan

Dylan Johnson, MSc

MA Student, School and Clinical Child Psychology
Department of Applied Psychology and Human Development

University of Toronto
252 Bloor Street West

Toronto, ON M5S 1V6

[R-meta] Putting pooled effects from different multilevel meta analyses into the same forest plot

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