Dear Angeline
Yes, that was what I meant. Of course then the result of rma.uni() will be
very slightly different but you are using the funnel plot as what Tukey
called an impact graphic as opposed to an archive graphic so the fact that
the contours may not be in precisely the same place is not going to be
critical to your purposes.
If that does not work then I suggest going through the code of funnel.rma
and finding where it plots the points and then making you own function with
jitter added in to the call(s). That way you would still be using your
original fit.
Michael
On 20/07/2018 00:39, Angeline Tsui wrote:
Dear Michael,
Thank you very much for your reply. I actually tried different plot
symbol, but it didn't help much.
For the jitter function, do you mean that I need to simply use the jitter
function with the effect size or var before running the regression and
later plot the regression model with funnel plot?
Thanks again,
Angeline
On Thu, Jul 19, 2018 at 5:41 AM, Michael Dewey <lists at dewey.myzen.co.uk
<mailto:lists at dewey.myzen.co.uk>> wrote:
Dear Angeline
The first thing I would try is using a different plot symbol. A
hollow circle or a cross might help if the points are not absolutely
identical. The second thing would be to re-run the meta-analysis
with the values of yi and sei (or vi) with added jitter, perhaps
using the jitter() function for that.
Michael
On 18/07/2018 14:58, Angeline Tsui wrote:
Dear all,
I plotted the studies in my meta-analysis in a contour-enhanced
funnel
plot. In my meta-analysis, I have about 140 studies. However,
when I plot
the funnel plot, I find that a number of studies (i.e., points)
overlapped
with each other in the plot and this leads to an illustration
that I am not
plotting all studies in the funnel plot.
So I am writing to ask if you can teach me how to jitter points
in the
funnel plot, so that there could be some spaces between studies
with
similar effect size?
Thanks,
Angeline
-- Michael
http://www.dewey.myzen.co.uk/home.html
<http://www.dewey.myzen.co.uk/home.html>
--
Best Regards,
Angeline