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

[Stefanou Revesz]

Sure, it's alway been easier to use a personal account for a
non-university business but if needed (which I honestly didn't know)
in the future posts I will subscribe using my UCL account.

At any rate, thanks,
Stefanou

On Tue, Mar 29, 2022 at 3:54 PM Viechtbauer, Wolfgang (SP)
<wolfgang.viechtbauer using maastrichtuniversity.nl> wrote:
>
> Is there any way this can be verified? Easiest would be to use your UCL account to post.
>
> Best,
> Wolfgang
>
> >-----Original Message-----
> >From: Stefanou Revesz [mailto:stefanourevesz using gmail.com]
> >Sent: Tuesday, 29 March, 2022 22:27
> >To: Viechtbauer, Wolfgang (SP)
> >Cc: R meta
> >Subject: Re: [R-meta] Exponentiating the fixed part of rma.mv output
> >
> >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)