Displaying 13 results from an estimated 13 matches similar to: "Multi-response MCMCglmm (gaussian and zapoisson)"
2011 May 30
0
2D random walk with traps convert C++ code to R code
Hello, I have a C++ code for 2D random walks with traps and I want to convert it in a R code with its syntaxs, can anyone help???????
It's easy for me to adapt the body but I want help with the beginig (variable declaration) and th end exporting the output to a file ( like write.table() or sink() )
Thank you...
#include <iostream>
#include <math.h>#include
2011 Feb 14
1
MCMC glmm
Hi to all the people,
I'm working with abundance data of some species, but containing too zero
values, and the factors are the ones typical in a BACI experiment
(Before-and-After-Control-Impact). Thus, these are two fixed factors. As the
data does not holds the normality and homogeneity of variances assumptions
of clasiccal ANOVA, I'm trying to fit a zero-altered model using the MCMC
glmm
2002 Jul 27
1
Working with lists
Greetings All,
I'm stuck and would appreciate some help.
After writing a function to generate a random sample from vector
"rand1":
> f<-function(i) {y<-sample(rand1,296,replace=F)}
and using the function to generate multiple samples from rand1 and store
the results in list "l":
> l<-lapply(1:100,f)
I can't get the next step accomplished; I'd like
2008 May 14
6
PWGL in wine, problems
Hello,
I'm new on this list. First of all, thank you to all the developers of this
great project!
At the moment there is only an application that keeps me on both macos and
windows, its name is PWGL a free environment for computer assisted
composition in openGL. (http://www2.siba.fi/PWGL/)
I'm running Ubuntu 8.04 and wine 0.9.59.
I have to say that I also installed vcrun2005 and
2011 Dec 14
0
hclust and ggplot2
I saw an example online of taking hclust dendrogram and plotting it using
ggplot2 and thought I would give it a try to see what it would look like. I
get an error when trying to use ggplot; Error: ggplot2 doesn't know how to
deal with data of class phylo. Regular plot works fine but I can't get
ggplot2 to work.
see code below....
rows=100
columns=100
#create matrix
2014 Oct 16
2
[LLVMdev] RFC: Should we have (something like) -extra-vectorizer-passes in -O2?
----- Original Message -----
> From: "Chandler Carruth" <chandlerc at google.com>
> To: "Zinovy Nis" <zinovy.nis at gmail.com>
> Cc: "Hal Finkel" <hfinkel at anl.gov>, "James Molloy" <james at jamesmolloy.co.uk>, "LLVM Developers Mailing List"
> <llvmdev at cs.uiuc.edu>
> Sent: Thursday, October 16, 2014
2006 Oct 27
0
VGAM package released on CRAN
Dear useRs,
upon request, the VGAM package (currently version 0.7-1) has been
officially released on CRAN (the package has been at my website
http://www.stat.auckland.ac.nz/~yee/VGAM for a number of years now).
VGAM implements a general framework for several classes of
regression models using iteratively reweighted least squares
(IRLS). The key ideas are Fisher scoring, generalized linear
and
2007 Feb 27
2
str() to extract components
Hi,
I have been dabbling with str() to extract values from outputs such as
lmer etc and have found it very helpful sometimes.
but only seem to manage to extract the values when the output is one
simple table, any more complicated and I'm stumped :-(
take this example of the extracted coeficients from a lmer analysis...
using str(coef(lmer(resp3~b$age+b$size+b$pcfat+(1|sex), data=b)))
2011 Jul 07
2
kripp.alph error message
Hi! I fairly new to R, have only done pretty basic things so far, so this may
be a very basic question..... But I did search the forums and didn't see a
solution....
I'm trying to get going with kripp.alpha(). I'm loading data from a file,
like this:
> library(irr)
Loading required package: lpSolve
> x <- read.table("foo", comment.char="#", header=TRUE,
2004 Oct 06
8
Dataframe manipulation question
Hello,
I have a data frame that has three fields.
Resp# ActCode ProdUsed
100 3 2
100 3 2
100 4 3
100 4 3
101 3 6
102 2 1
102 3 1
103 5 1
103 5 1
103
2012 Nov 21
0
Two way manova
Hello everyone,
I would like to perform a 2-way manova test, but I'm having some issues.
I implemented like this
Y<-cbind(Resp1,Resp2,Resp3,....,Respn)
model<-manova(Y "tilda" FactorA*FactorB)
summary.aov(model)
1. I don't know at what level I have to do the Type I error correction. Is
it on p-values returned by "summary.aov(model)? Or is it when I compare each
2008 Feb 29
1
patch for random.c
Dear all,
while looking for some inspiration of how to organise some code, I
studied the code of random.c and noticed that for distributions with
2 or 3 parameters the user is not warned if NAs are created while such
a warning is issued for distributions with 1 parameter. E.g:
R version 2.7.0 Under development (unstable) (2008-02-29 r44639)
[...]
> rexp(2, rate=Inf)
[1] NaN NaN
Warning
2004 Apr 28
1
simple repeated measures model: dumb user baffled!
I am in the process of transferring from an old version of S+ to using
R having used a variety of other packages in the past. I'm hugely
impressed with R but it has an excellent but depressing habit of exposing
that I'm not a professional statistician and has done so again.
Someone has run a nice little repeated measures design on my advice,
students randomised to four orders of a