[R-meta] Plotting interaction effect from a rma.mv() fit

[Simon Harmel]

Highly appreciated, Wolfgang!



On Tue, Mar 16, 2021 at 5:12 AM Viechtbauer, Wolfgang (SP) <
wolfgang.viechtbauer using maastrichtuniversity.nl> wrote:

> Dear Simon,
>
> Not aware of any packages that interface with rma.mv, but this is
> relatively easy to do by hand. Just use predict() with the newmods argument
> to compute the predicted values as a function of 'time' for each level of
> 'outcome' and then create a plot with those lines.
>
> Best,
> Wolfgang
>
> >-----Original Message-----
> >From: R-sig-meta-analysis [mailto:
> r-sig-meta-analysis-bounces using r-project.org] On
> >Behalf Of Simon Harmel
> >Sent: Tuesday, 16 March, 2021 5:25
> >To: R meta
> >Subject: [R-meta] Plotting interaction effect from a rma.mv() fit
> >
> >Dear All,
> >
> >Are there plotting packages (e.g., `effects::plot(allEffects())`,
> >`sjPlot::plot_model()`, `emmeans::emmip()`  ) to plot the predictions of a
> >say rma.mv() model?
> >
> >For example, is it possible to plot the interaction effect below?
> >
> >library(metafor)
> >dat <- read.csv("https://raw.githubusercontent.com/hkil/m/master/tst.csv
> ")
> >fit <- rma.mv(d ~ factor(outcome)*time, V = SE^2, random= ~1|id, data =
> dat)
>

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