Message-ID: <CAM0+kvRs=p6b=8Px3Mjn4M_w5pNG4uipr9AYxU5TSki8mOpe+A@mail.gmail.com>
Date: 2020-06-16T08:06:02Z
From: Thao Tran
Subject: [R-meta] Adjust the scale for x-axis using forest() function in the metafor package
In-Reply-To: <fd7a4fa5-7478-de52-1e3a-e9c2291b815d@dewey.myzen.co.uk>
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----1000
> > (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
> > <mailto:maiphuongthao.tran at student.uhasselt.be>
> > Phone number: + 84 979 397 410+ 84 979 397 410/ 0032 488 0358430032 488
> > 035843
> >
> >
> > <
> http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient>
>
> > Virus-free. www.avg.com
> > <
> http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient>
>
> >
> >
> > <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>
> >
> > _______________________________________________
> > R-sig-meta-analysis mailing list
> > R-sig-meta-analysis at r-project.org
> > https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis
> >
>
> --
> Michael
> http://www.dewey.myzen.co.uk/home.html
>
--
*Tr?n Mai Ph??ng Th?o*
Master Student - Master of Statistics
Hasselt University - Belgium.
Email: Thaobrawn at gmail.com / maiphuongthao.tran at student.uhasselt.be
Phone number: + 84 979 397 410+ 84 979 397 410 / 0032 488 0358430032 488
035843
[[alternative HTML version deleted]]