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

[Viechtbauer, Wolfgang (SP)]

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)