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 at 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 at 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!
-----Original Message-----
From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces at r-project.org]
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)