[R-meta] Adjust the scale for x-axis using forest() function in the metafor package
th@obr@wn @end|ng |rom gm@||@com
Tue Jun 16 10:06:02 CEST 2020
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.
On Mon, Jun 15, 2020 at 7:15 PM Michael Dewey <lists using dewey.myzen.co.uk>
> 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.
> 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)...
> > (something similar).
> > Do you have any suggestions?
> > Regards
> > Thao
> > --
> > /Trần Mai Phương Thảo/
> > Master Student - Master of Statistics
> > Hasselt University - Belgium.
> > Email: Thaobrawn using gmail.com <mailto:Thaobrawn using gmail.com> /
> > maiphuongthao.tran using student.uhasselt.be
> > <mailto:maiphuongthao.tran using student.uhasselt.be>
> > Phone number: + 84 979 397 410+ 84 979 397 410/ 0032 488 0358430032 488
> > 035843
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*Trần Mai Phương Thảo*
Master Student - Master of Statistics
Hasselt University - Belgium.
Email: Thaobrawn using gmail.com / maiphuongthao.tran using student.uhasselt.be
Phone number: + 84 979 397 410+ 84 979 397 410 / 0032 488 0358430032 488
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