Hello Marco
Comments in line again
On 24/08/2015 18:49, Marco Colagrossi wrote:
I tried to upload the file once again. I tweaked it a bit, now my code is:
forest(pc, var, ci95m, ci95p, slab = authoryear, psize=1, subset=(pub==1),
xlim = c(-16, 6),
ilab = cbind(SIMdv, SIMiv),
ilab.xpos = c(-7.5, -5.5), cex = 0.75)
op <- par(cex=.75, font=2)
text(c(-7.5, -5.5), 54, c("DV", "IV"))
text(-16, 54, "Author(s) and Year", pos=4)
text(6, 54, "Outcome [95% CI]", pos=2)
par(op)
I managed to show both the Ilab argument and the text above. I still
have 3 issues:
- now the forest plot is too narrow - that is, pretty unreadable;
You need to re-read Wolfgang's advice again. The forest function tells
you what values of xlim it used and you can then adjust them to suit.
This will take a few attempts in my experience.
- I cannot still export it properly, as shown in the enclosed .png
It looked correctly exported to me. One comment, do you really need the
complete citation of each study? Most of the forest plots I see as a
reviewer just use the first author name and the year. This would
potentially give you a lot more space.
- SIMdv, SIMiv are shown as number while on mine .csv are actually
text variable.
regarding the rma.mv package, I set it up this way (preliminarily)
I will leave this one to Wolfgang to answer.
multi <- rma.mv(pc, var, random = ~ 1 | author, data=codebook)
I'm trying to compare the results with this equation, which is what -
I think, correct me if I'm wrong - in econometrics we call
author-fixed effect, that is, model which are constant across
individuals (the random\fix notation is a bit tricky):
author_fix <- rma(pc, var, mods = ~ I(author), data=codebook, method="ML")
What I was wondering if that the two equation above mentioned also
correct for heteroskedasticity which I need since my studies have
different sample and specifications.
Thanks for your help, your patience and your time, and many
compliments for the package, is guiding me through the use of R for
the first time - as you might have guessed.
Marco
On 24 August 2015 at 16:50, Viechtbauer Wolfgang (STAT)
<wolfgang.viechtba...@maastrichtuniversity.nl> wrote:
I cannot reproduce the issue with 'ilab' not being shown when using 'subset'.
My guess is that the values for 'ilab.xpos' specified are actually outside of
the plotting region. After you have drawn the forest plot, try:
par("usr")[1:2]
to see what the default limits actually are. Then use 'xlim' to adjust the
limits to your taste. And then use appropriate values for 'ilab.xpos', so they
are inside those limits.
Moreover, the graph is showed correctly only within the zoom in
Rstudio but if I save it it is showed as enclosed.
Nothing was enclosed (or it was stripped).
Moreover, how would you suggest to handle (graphically) the
multiple-cases-per-study thing? It's a 'good' way to average the cases
among different studies in the graphs?
Maybe add some space between groupings (i.e., studies). The example given here
can provide some clues how one could go about this:
http://www.metafor-project.org/doku.php/plots:forest_plot_with_subgroups But
drawing a plot like this requires a lot of hand-tweaking.
Best,
Wolfgang
--
Wolfgang Viechtbauer, Ph.D., Statistician | Department of Psychiatry and
Neuropsychology | Maastricht University | P.O. Box 616 (VIJV1) | 6200 MD
Maastricht, The Netherlands | +31 (43) 388-4170 | http://www.wvbauer.com
-----Original Message-----
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Marco
Colagrossi
Sent: Monday, August 24, 2015 16:04
To: r-help@r-project.org
Subject: [R] Metafor and forest(); not showing 'ilab' and text
Hello folks,
I have a couple of issues with the metafor package, specifically with
the forest graphs.
I am currently conducting a Meta-Analysis in economics throughout the
metafor package.
My meta-analysis has the specific of having different cases from
single studies, and this proven to be challenging especially when
trying to plot graphically the results I'm obtaining.
Here's the code:
forest(pc, var, ci95m, ci95p, slab = authoryear, psize=1,
subset=(pub==1),
ilab = cbind(ys, f_dim, SIMdv, SIMiv),
ilab.xpos = c(-9.5, -8, -6, -4.5), cex = 0.75)
par(font=2)
text(c(-9.5,-8,-6,-4.5), 26, c("Years", "Firm(s) Dimension", "DV",
"IV"))
text(-16, 26, "Author(s) and Year", pos=4)
text(6, 26, "Observed Outcome [95% CI]", pos=2)
par(op)
'pc' is the 'effect size', 'var' the variance, 'ci95m & ci95p' the CI,
'pub' if the paper has been published or not. the pub subset was the
first idea I had in order to split my sample that otherwise would have
been to big. The issue with this solution is that forest() displays
only the slap argument and the forest with the confidence interval,
completely ignoring the lab argument and the text I'm trying to add.
Moreover, the graph is showed correctly only within the zoom in
Rstudio but if I save it it is showed as enclosed.
What I'm doing wrong? I tried both to look at the package
documentation and online but I can't figure it out.
Moreover, how would you suggest to handle (graphically) the
multiple-cases-per-study thing? It's a 'good' way to average the cases
among different studies in the graphs?
In my meta-analysis I'm using a multilevel model as shown in
Gelman-Hill but graphically (and in tables) I'm struggling.
Thanks for your help and patience
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Michael
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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