[R-meta] Exponentiating the fixed part of rma.mv output

[Stefanou Revesz]

Hello Wolfgang,

I'm a second second year master's student in psychology at the
University College of London. I don't currently own a social media
platform or personal website (I certainly should set up one for myself
when I start to publish!). To be clear, are you asking that I should
add this information to my signature at the bottom of my gmail in my
future posts, correct?

Sincerely,
Stefanou



On Tue, Mar 29, 2022 at 3:05 PM Viechtbauer, Wolfgang (SP)
<wolfgang.viechtbauer using maastrichtuniversity.nl> wrote:
>
> Dear Stefanou,
>
> When posting to the mailing list, please provide some information about any institutional/organizational affiliation (such as a link to a personal website, university profile page, or social media profile). Thanks!
>
> Best,
> Wolfgang
>
> >-----Original Message-----
> >From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces using r-project.org] On
> >Behalf Of Stefanou Revesz
> >Sent: Tuesday, 29 March, 2022 21:43
> >To: R meta
> >Subject: [R-meta] Exponentiating the fixed part of rma.mv output
> >
> >Hello Wolfgang,
> >
> >I want to exponentiate the fixed part of my model below, is there a
> >way to preserve the appearance of the output as in
> >`coef(summary(res))` but just display all the columns in their
> >exponentiated form?
> >
> >I did try `predict(res, transf = exp)` but that is not what I'm after.
> >
> >Thank you,
> >Stefanou
> >
> >## Here is my model:
> >d <- read.csv("https://raw.githubusercontent.com/fpqq/w/main/f.csv")
> >
> >res <- rma.mv(gi ~ teaching_level+pd_format +pd_content +
> >                 training_hr +time +outcome +area +
> >                 time_wk_whn +time_wk_btw +study_type,
> >               V = v_gi,
> >               random = ~1|study/obs,
> >               data = d)