>Sent: Monday, 22 March, 2021 7:59
>To: r-help@r-project.org
>Subject: [R] forest plot -metafor package
>
>*I am performing a meta-analysis using the metafor package. My data are
>**proportions and I used the Freeman Tukey double arcine (FT)**
>transformation to fit the rand
*I am performing a meta-analysis using the metafor package. My data are
**proportions and I used the Freeman Tukey double arcine (FT)**
transformation to fit the random effects model. To create a **forest
plot with my estimates backtransformed to the original scale of
**proportions i found this
(STAT)"
<wolfgang.viechtba...@maastrichtuniversity.nl>
To: "r-help@r-project.org" <r-help@r-project.org>
Subject: Re: [R] R: forest plot metafor
Message-ID:
<077e31a57da26e46ab0d493c9966ac730f2460c...@um-mail4112.unimaas.nl>
Content-Type: text/plain; charset="us-as
rg] On Behalf Of Mario Petretta
[petre...@unina.it]
Sent: Saturday, December 12, 2015 3:57 PM
To: r-help@r-project.org
Subject: [R] R: forest plot metafor
Many thanks to Professor Michael Dewey for his time.
I apologize for the error about the claim to obtain weights from escalc and I
realise tha
11 dicembre 2015 14.47
A: Mario Petretta; r-help@r-project.org
Oggetto: Re: [R] forest plot metafor
See below
On 09/12/2015 18:48, Mario Petretta wrote:
> Dear all,
>
>
>
> I use metafor package to generate a forest plot showing the weight of each
> study in the plot.
>
See below
On 09/12/2015 18:48, Mario Petretta wrote:
Dear all,
I use metafor package to generate a forest plot showing the weight of each
study in the plot.
I use the code:
library(metafor)
data(dat.bcg)
res <- rma(ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg, measure="RR",
Dear all,
I use metafor package to generate a forest plot showing the weight of each
study in the plot.
I use the code:
library(metafor)
data(dat.bcg)
res <- rma(ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg, measure="RR",
slab=paste(author, year, sep=", "), method="REML")
7 matches
Mail list logo