-----Original Message-----
From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces at r-project.org]
On Behalf Of Thao Tran
Sent: Tuesday, 16 June, 2020 10:06
To: Michael Dewey
Cc: r-sig-meta-analysis at r-project.org
Subject: Re: [R-meta] Adjust the scale for x-axis using forest() function in
the metafor package
Hey Michael,
It is indeed a plot on the log-scale.
However, I did transform the values back to the original scale using
atransf = exp.
It is quite intuitive to see the 95% CI on the linear scale so the
variabilities of different studies can be seen clearly.
If you take a look at the plot above (in the previous email): the first
study had a very wide 95% CI (on the plot) although the values vary only
between 10 and 99.
The Roghmann study (fifth from the top) had a wide CI (from 400 to 1300)
but shows very short CI on the plot.
Regards,
Thao
On Mon, Jun 15, 2020 at 7:15 PM Michael Dewey <lists at dewey.myzen.co.uk>
wrote:
Dear Thao
It is not wuite clear to me why you expect to see a linear scale on a
plot using log values. I would suggest putting the ticks at places more
evenly spaced on the log scale.
Michael
On 15/06/2020 16:32, Thao Tran wrote:
Dear,
I want to plot an rma object using the forest() function in the metafor
package.
Here is a reproducible code to run it (please see the attachment).
axis.png
The problem is the x-axis does not scale as I expected even I tried
using at = ...
I wanted to have the x-axis scale from 1, to 1000 but with equal
interval, for example, between (0, 1e2), (1e2, 2e2), (2e2, 3e2)...
1-----100-----200-----300-----400-----500-----600-----700-----800-----900-
(something similar).
Do you have any suggestions?
Regards
Thao
--
/Tr?n Mai Ph??ng Th?o/
Master Student - Master of Statistics
Hasselt University - Belgium.
Email: Thaobrawn at gmail.com <mailto:Thaobrawn at gmail.com> /
maiphuongthao.tran at student.uhasselt.be
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