matrix(Y[,2]%o%X[,2],ncol=1)
On Wednesday 29 August 2007 03:21 pm, Luke Neraas wrote:
> Hello,
>
> I have two data frames, X and Y, with two columns each and different numbers
> of rows.
>
> # creation of data frame X
>
> Loc1.alleles <- c(1,5,6,7,8)
> Loc1.Freq<- c(0.35, 0.15,
Hi Mark,
Is this of any help?
resMat<-function(K=6,lag=2,ncol=3*K){
X<-matrix(0,K,ncol)
X[,1:(K*lag)]<-diag(K)
return(X)
}
Cheers,
Anders.
On Tuesday 08 May 2007 11:21 am, Leeds, Mark (IED) wrote:
> I wrote an ugly algorithm to set certain elements of a matrix to 1
> withou
Hi Michael,
Try:
A-as.vector(B)
Cheers,
Anders.
On Monday 06 March 2006 01:10 pm, Michael wrote:
> Hi all,
>
> I want to substract vector B from A's each column... how can R do
> that smartly without a loop?
>
> > A=matrix(c(2:7), 2, 3)
> > A
>
> [,1] [,2] [,3]
> [1,]246
I can confirm that AD Model Builder is used at the Danish
Institute for Fisheries Research, and by fisheries people in
and all around the Pacific.
On a few occasions I have solved a likelihood optimization
problem in AD Model Builder, and then wrapped the binary
in an R-package, with data read
Hi,
Also consider using the function supplied in the post:
https://stat.ethz.ch/pipermail/r-help/2005-March/066752.html
for fitting negative binomial mixed effects models.
Cheers,
Anders.
On Tue, 5 Apr 2005, Achim Zeileis wrote:
> On Tue, 5 Apr 2005 11:20:37 -0600 [EMAIL PROTECTED] wrote:
Dear List,
I have tried the program (Linux version) supplied to fit the
negative binomial mixed model. It seems to work really well and
converge fast.
Since this is apparently a model that is difficult to fit with
what is presently in R, and more difficult to fit with other
standard tools, it wo
Hi Graham,
If you want it in excel I suggest you export it as a comma separated
file, which can be done with something like:
> data(airquality)
> write.table(airquality, sep=",", row.names=FALSE, quote=FALSE, file="result.csv")
This file will open nicely in excel.
If you want it as tab separate
How about:
y<-cumsum(c(0,rnorm(100)))
On Tue, 10 Feb 2004, allan clark wrote:
> hi all
>
> how does one simulate a random walk process?
>
> i.e
>
> y(0)=0
>
> y(t)=y(t-1)+ e(t)
>
> where e(t) is normal(0,1) say.
>
> Regards
> allan
>
__
[EMAIL PRO
Hi Eric,
How about:
> set.seed(1234567)
> sample(1:100,10)
[1] 57 72 90 3 74 46 9 81 95 78
> set.seed(1234567)
> sample(1:100,10)
[1] 57 72 90 3 74 46 9 81 95 78
>
Cheers,
Anders.
On Mon, 5 Jan 2004, Eric ESPOSITO wrote:
> Hello,
> I already sent such an email before Christmas, but nob
Try using lapply()
For instance like:
val<-unlist(lapply(test, function(x)x$value))
You can also extend this by having your function return
everything you need from the list.
Cheers,
Anders.
On Tue, 21 Oct 2003, Tord Snall wrote:
> Dear all,
> I try extracting information from a list with
Hi,
You need to install the pixmap package to do that. After that
is installed the following lines illustrate how to use it.
> library(pixmap)
> x <- read.pnm(system.file("pictures/logo.ppm", package = "pixmap")[1])
> layout(matrix(c(1,1,2,3),2,2))
> plot(rnorm(100))
> plot(rnorm(100))
> plot(
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