[R] Ubuntu vs Mac OS X

2008-04-25 Thread Guillaume Blanchet
Hi !

I have installed R-2.7.0 64-bits on a computer where the new Ubuntu 
version (8.04) was installed. This computer is a 3.2 GHz Dual-core with 
2 Gb of RAM.

To test how fast (I though !) this machine is, I compared two simple 
matrix manipulations between Ubuntu and my laptop (a MacBook Pro 2.2 GHz 
with also 2 Gb of RAM under Mac OS X 10.5.2). By the way, I install the 
normal version of R on my MacBook Pro (32-bits)

I decided to use the following matrix manipulation because they are 
typical manipulation that I was planning to do repetitively and with 
much larger matrices for my PhD project.

First matrix manipulation:

coco<-matrix(rnorm(100),1000,1000)
system.time(coco2<-eigen(coco))

Results on the Mac:
user system  elapsed
7.301   0.974   7.376

Results on Ubuntu:
user system  elapsed
20.573   0.088   20.766

Second matrix manipulation:

coco<-matrix(rnorm(100),1000,1000)
system.time(coco3<-coco%*%coco)

Results on the Mac:
user system  elapsed
0.360   0.024   0.224

Results on Ubuntu:
user system  elapsed
2.756   0.000   2.758

If I understand these results right, my MacBook Pro is far better than 
this Desk computer. I know Macs are good but that difference of 
performance is surprising me, did I do something wrong considering the 
large difference in processor?

Thanks in advance

Guillaume Blanchet

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Re: [R] assistance with RDAtest beta version application

2008-03-27 Thread Guillaume Blanchet
Hi !!



Stanfield, Les (MNR) a écrit :
> Thank you so much for coming to my rescue!:
>
>  OK I have been able to open it (but only in the R editor.  I assumed that we 
> had to generate our own files of XX.txt and YY.txt and bring them into R 
> before the program could run Is this right?  
>
>   
Yon do not have to, but you can. I personally like to import the whole 
file I'm working (here "Table_11-3.txt") and go from there. If you feel 
more comfortable to do it another way there is no problem there !
> So I created two as tab delimited text files (Here they are).  I am able to 
> bring them into R and when I edit them, they look fine.  
>
>   
OK

> This is the code to this stage:
>
> rdaTest <- function(YY.mat, XX.mat, WW.mat=NULL, 
>scale.Y=FALSE, testF=NULL, nperm=NULL, print.results=TRUE, 
> print.cum=FALSE)
> {
> library(MASS) 
>
>   # Read the data tables. Transform them into matrices Y, X, and W
> YY.mat = -read.table("YY.txt")
>  XX.mat = -read.table("XX.txt")
>
> Y.mat=as.matrix(YY.mat)
>   
>> X.mat=as.matrix(XX.mat)
>> 
> bb<-edit(y.mat) 
> bb<-edit(x.mat) 
>
>   
> But when I try to then convert these two files to mat files, nothing happens? 
>  I'm assuming it has something to do with this step, but I can't figure it 
> out.  Note: I tried creating base yy.mat and xx.mat files, by just changing 
> the file names, but that didn't work. 
>
> So is this the problem, When I look at the y.mat and x.mat they look no 
> different than the original txt files 
>
>
>   
Here I get a bit confused

Here is what I propose:

### Load the whole file
tab11.3<-read.table("Table_11-3.txt",header=TRUE,row.names=1)

### Extract the species (Y) and the environmental variables (X) from tab11.3
Y<-tab11.3[,1:6]
X<-tab11.3[,7:10]

### Calculate the RDA
coco<-rdaTest(Y,X,testF=TRUE,nperm=999)
coco

### Draw the triplot
graph.rdaTest(coco,plot.type="F")

With these couple of lines you should get the same results as the ones 
presented in Legendre and Legendre (1998).

> Les Stanfield
>
>   
Have a nice day !!

Guillaume Blanchet

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Re: [R] assistance with RDAtest beta version application

2008-03-27 Thread Guillaume Blanchet
Hi !

I am familiar with the rdaTest package.

It works perfectly find for me. Can you give me more details on the 
problems you have so I can be of greater help !

Have a nice day !

Guillaume Blanchet
PhD student

Stanfield, Les (MNR) a écrit :
> Pierre Legendre has developed a beta version of a new redundancy analysis 
> package called RdaTest that is available on his web page at the Universit® de 
> Montréal.  The test example that is included with the package is based on the 
> example provided in his book (Numerical Ecology, Chapter 11 (Legendre & 
> Legendre 1998))
>
>  
> I have downloaded the package and am attempting to run it so that I might 
> learn how to match the outputs from the RDA test to the outputs in the book.  
> this is a first step towards me eventually using this technique to analyze my 
> own data with this methodology.  However, I keep hitting road blocks trying 
> to get the package to work and so am looking for someone who has used this 
> test package and could help me troubleshoot.  
>  
> Any takers? 
>  
> Les
>
>   [[alternative HTML version deleted]]
>
>   
> 
>
> __
> R-help@r-project.org mailing list
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

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