Dear Greg
I think you are going to need to supply more information. WHat do you
mean by "in SAS differently"? If you just want to do an analysis using
the Reitsma model then there are options in R of course.
https://CRAN.R-project.org/view=MetaAnalysis
for further questions may I suggest
Hi Jim and everyone else,
Mhm, no this is not what I am looking for. I think in your way I would
randomly sample two values of day 1 and of day 2. But I want the
opposite: I want to randomly draw two successive (!) days and put those
values in a new dataframe to continue working with them.
Dear Greg,
I am not sure if I understand your question. If you are asking how to do this
in R, then one could use the metafor or meta package for this. The specificity
and sensitivity values are proportions, so one would usually meta-analyze them
after a logit transformation. But all of the
Dear All;
I sincerely apologize for TYPOS. My question is that:
Does anyone know any R library that runs meta-analysis differently for
Sensitivity and Specificity if I have only the following info in my data
set?
Once again my apologies for the mistake in my earlier email.
Regards,
Greg
myfirst <- sample( seq.int( nrow(myframe)-1 ), 1 )
mysample <- myframe[seq( myfirst, myfirst+1),]
mysample
On December 7, 2018 2:24:11 AM PST, Dagmar Cimiotti
wrote:
>Hi Jim and everyone else,
>
>Mhm, no this is not what I am looking for. I think in your way I would
>randomly sample two values
Ah wow, that answers many questions, thanks!
On Thu, Dec 6, 2018 at 4:41 PM Jeff Newmiller
wrote:
> AFAIK this receiver-side responsibility to specify the text/binary status
> of the file is particularly a problem with the "ftp://; protocol because
> it does not use MIME file encoding (which
Hi Viechtbauer and Micheal;
Thanks so much for writing. It is much appreciated.
Regards,
Greg
On Fri, Dec 7, 2018 at 6:16 AM Viechtbauer, Wolfgang (SP) <
wolfgang.viechtba...@maastrichtuniversity.nl> wrote:
> Dear Greg,
>
> I am not sure if I understand your question. If you are asking how to
Hi Jim and everyone else,
Mhm, no this is not what I am looking for. I think in your way I would
randomly sample two values of day 1 and of day 2. But I want the
opposite: I want to randomly draw two successive (!) days and put those
values in a new dataframe to continue working with them.
In
Hi,
I am confused.
As far as I can tell, only the first day is selected randomly from your
dataset. The subsequent 24 days are deterministic, since they need to be
consecutive days from the first day, for a total of 25 consecutive days.
Thus, all you need to do is to randomly select 1 day
Hi Dagmar,
This will probably involve creating a variable to differentiate the
two days in each data.frame:
myframe$day<-as.Date(as.character(myframe$Timestamp),"%d.%m.%Y %H:%M:%S")
days<-unique(myframe$day)
Then just sample the two subsets and concatenate them:
Dear all,
I have data from a time span like this:
myframe <- data.frame (Timestamp=c("24.09.2012 09:00:00", "24.09.2012
10:00:00","25.09.2012 09:00:00",
"25.09.2012 09:00:00","24.09.2012 09:00:00",
"24.09.2012 10:00:00"),
Hola,
Puedes usar el paquete "broom" que permite representar todos los resultados
de tu modelo, lo que consigues con "summary(tu_modelo)" en formato
data.frame.
Y con el data.frame, con la función "write.table()" puedes pasarlo a un
fichero de texto.
Saludos,
Carlos Ortega
La alternativa " tidyverse" ...
> Lines <- "Descripcion Grupo Monto
+ a 1 1.826
+ a 2 3.497
+ a 1 4.749
+ b 1 3.999
+ b 1 1.638
+ b 3 4.445
+ c 2 4.935
+ c 1 2.299
+ c 3 1.111
+ "
>
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