Forest plot with log-transformed model by metafor package in R
<p>I am meta-analysing prevalence of medications with the <code>rma.glmm</code> command in the <code>metafor</code> package. The log-transform is used as they are follow the binomial distribution. </p>

<p>So, my model is: </p>

<pre><code>med_A&lt;-rma.glmm(xi=A, ni=Sample_size, measure="PLO")
</code></pre>

<p>The forest plot is made with the following code and the result is attached below.</p>

<pre><code>forest(med_A, atransf = transf.ilogit, ilab = cbind(A, Sample_size), 
       ilab.xpos = c(-7,-5), slab = Study, refine=1)
</code></pre>

<p>The scale looks so weird as 1.00 appears twice and it doesn't distribute equal. How could I change scale and make transformed-back forest plot?</p>

<p><a href="https://i.stack.imgur.com/8qPIr.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/8qPIr.png" alt="Forest plot of medication A"></a></p>