Thanks, for suggestions (To define p before).
I thought it and I put this line of code inside the loop:
p[i] <- y[i] / n[i]
but I received a RUNTIME ERROR and:
(Attempt to redefine node p[1]).
Thanks
Massimiliano
Il giorno mar 1 giu 2021 alle ore 17:22 Bert Gunter
ha scritto:
> Where is p defin
Unless you have got reason not to, always reply to the list (included in
this response). I cannot help, but someone else may be able to.
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom Co
Where is p defined before it is used? (Is this part of what jags provides
somehow?)
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Tue, Jun 1, 2021 at 7:57 AM
Dear R users,
I'm trying to reproduce the example 6.5.1 (Dobson (1983)) in BUGS book in
linux using JAGS.
Below the code as
https://www.mrc-bsu.cam.ac.uk/software/bugs/the-bugs-project-the-bugs-book/bugs-book-examples/the-bugs-book-examples-chapter-6-6-5-1/
# By R code:
library('rjags')
jags <
or of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Juan Fernández Tajes
> Sent: Tuesday, September 04, 2012 3:19 AM
> To: r-help@r-project.org
&g
Dear list,
Hello to everybody, I´m interested in finding a package for statistical
analysis of binary data, I have a matrix with the following structure:
Case1 Case2 Case 3 ... CaseX Control1 Control2 Control3 ... ControlY
Pep1 1 0 1 1 0 0 0 1
Pep2 1 1 1 1 1 0 0 1
Pep3 0 1 1 1 1 0
Dear posters,
I have a question concerning binary data analysis. I have presence absence
data of 5 sampling sessions within 3 years, of 12 fields. Each field had 12
traps. I would like to analyse the data with a Generalized Estimating
Equations (GEE) Model in R. For the abundance data I used a gls
karuna m wrote:
>
> hi,
> I am trying to calculate distance matrices for binary data frame. I am
> using dist.binary in 'ade4' package. This is the code i run and get error
> message as 'missing value where True/False needed:
> clss <- as.data.frame(cls)
> dist.binary(clss, method = 1, diag = F
hi,
I am trying to calculate distance matrices for binary data frame. I am using
dist.binary in 'ade4' package. This is the code i run and get error message as
'missing value where True/False needed:
clss <- as.data.frame(cls)
dist.binary(clss, method = 1, diag = FALSE, upper = FALSE)
Also, if i
Hi, can anyone give me some advice on dealing with binary data in R efficiently?
Are there any packages with fast binary vector datatypes &/or algorithms (e.g.
Hamming distance, set covering)?
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R-help@r-project.org mailing list
https://stat.ethz.ch/ma
On 09-Nov-07 23:11:02, [EMAIL PROTECTED] wrote:
> Hi,
>
> I would like to know if there is any algorithm in R for transforming
> Binary data sets. I want something like taking all the zeros and giving
> them some negative value, for example -5, and taking all ones and
> giving them some positive v
Hi,
I would like to know if there is any algorithm in R for transforming Binary
data sets. I want something like taking all the zeros and giving them some
negative value, for example -5, and taking all ones and giving them some
positive value, if it had been given -5 for zeros it would be 5 fo
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