:
> On Tue, 10 Jun 2014 12:03:55 PM Verena Weinbir wrote:
> > Hey guys,
> >
> > I have a huge forest plot, which is to big to put it on one page (you
> cant
> > read a thing in this case ;-)) Is there a way to let it run over several
> > pages?
> >
> >
Hey guys,
I have a huge forest plot, which is to big to put it on one page (you cant
read a thing in this case ;-)) Is there a way to let it run over several
pages?
forest(resultges, main="forest plot of included studies")
Thank you very much in advance!
Verena
[[alternative HTML vers
nal Message-
> > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> > project.org] On Behalf Of Verena Weinbir
> > Sent: Wednesday, May 28, 2014 2:00 PM
> > To: arun
> > Cc: r-help
> > Subject: Re: [R] Dataframe: Average cells of two rows and repl
xt="Name C1 C2 C3
> 1 A 3 3 5
> 2 B 2 7 4
> 3 C 4 3 3
> 4 C 4 4 6
> 5 D 5 5 3",sep="",header=TRUE,stringsAsFactors=FALSE)
>
>
> library(plyr)
> ddply(dat,.(Name),numcolwise(mean,na.rm=TRUE))
> A.K.
>
>
> On
Hello,
I have a big dataframe, and want to average two specific cells of two
specific rows and then replace those two rows with one row which contains
the averaged cells. Example (row 3 and 4: Cells2 and Cells3 averaged and
replaced)
NameC1 C2 C3
1 A 3 3 5
2 B 2 7 4
3 C 4 3
Hey,
I want to build a forest plot which states author and year for a subset of
studies.
But if I use this argument:
resultREML <- rma(yi=yi, vi=vi, method = "REML",
data = subset(empa, task=="x"))
resultREML
forest(resultREML, , slab=paste(empa$author, empa$year,sep = ",")
ope is
> positive or negative). If you think the suppression occurred on the other
> side than the one that is chosen, specify the side via this argument.
>
> Best,
> Wolfgang
>
> From: r-help-boun...@r-project.org [r-help-boun...@r-proj
ssing in my data set, which have
smaller SDs (i.e. are more precise?) and higher effect sizes?
best,
Verena
On Mon, May 26, 2014 at 12:26 PM, Michael Dewey wrote:
> At 09:34 26/05/2014, Verena Weinbir wrote:
>
>> Hey guys,
>>
>> I have tested the metafor trim and fill
Hey guys,
I have tested the metafor trim and fill function (y:SD, x:SMD)on my data
set and yielded the following result:
1. missing studies on the right: 34
2. open circles on the rights side appear to be the number of additional
effects
3. adjusted d would be higher than observed d.
Since nor
hey guys, thank you very much for your help!
Sorry for the confusion! I write my thesis in word (So it would be "word
sheet" - which is obvisously not a word at all :-D sorry again), but for
generating tables I use xtable () with latex output. The data for the table
is stored in an excel sheet.
Hello!
I'd like to illustrate the data of an csv file as a nice table and copy it
into my word-sheet. Currently, I am trying this with the xtable () function
(latex output).
Example Code:
dfchar <- data.frame(Author = dat$author, Year = dat$year, Age = dat$age)
xtable(dfchar)
Now, since there a
would suggest that when you have your final dataset it would be a really
> good idea to do some model checks using plot.influence to see whether the
> studies for which you have imputed values are fundamentally different for
> some reason. This will also check your calculations as a bonus.
>
88-4170 | http://www.wvbauer.com
>>
>> > -Original Message-----
>> > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org
>> ]
>> > On Behalf Of Michael Dewey
>> > Sent: Friday, April 25, 2014 16:23
>> > To: Verena Weinbir
Hello!
I am using the metafor package for my master's thesis as an R-newbie. While
calculating effectsizes from my dataset (mean values and
standarddeviations) using "escalc" shouldn't be a problem (I hope ;-)), I
wonder how I could at this point integrate additional studies, which only
state conh
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