Hi,
In vegan the function to calculate distance is vegdist in which the default
distance is Sorensen (Bray-Curtis).
So, try:
vegdist(x, method=bray)
Also see ?vegdist
victor
On 8/22/07, [EMAIL PROTECTED] [EMAIL PROTECTED] wrote:
How to calculate sorensen (bray-curtis) distance by dist
PROTECTED]
Date: Saturday, August 4, 2007 8:01 pm
Subject: Re: [R] Mixture of Normals with Large Data
To: [EMAIL PROTECTED]
Cc: r-help@stat.math.ethz.ch
On Sat, 4 Aug 2007, Tim Victor wrote:
All:
I am trying to fit a mixture of 2 normals with 110 million
observations. I
am
Gunter
Genentech Nonclinical Statistics
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Tim Victor
Sent: Tuesday, August 07, 2007 3:02 PM
To: r-help@stat.math.ethz.ch
Subject: Re: [R] Mixture of Normals with Large Data
I wasn't aware
All:
I am trying to fit a mixture of 2 normals with 110 million observations. I
am running R 2.5.1 on a box with 1gb RAM running 32-bit windows and I
continue to run out of memory. Does anyone have any suggestions.
Thanks so much,
Tim
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, and this happens both
on Windows XP and Linux (Ubuntu).
Victor
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, and this happens both
on Windows XP and Linux (Ubuntu).
Victor
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal
, and this happens both
on Windows XP and Linux (Ubuntu).
Victor
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal
Does anyone know if there is a way to specify regressors dynamically
rather than explicitly?
More specifically, I have a data set in long format that details a
number of individuals and their responses to a question (which can be
positive, negative, or no answer). Each individual answers as many
?
Best regards,
victor
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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.
but you say it is bounded,
-25 X 0
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of victor
Sent: Wednesday, December 06, 2006 3:34 AM
To: r-help@stat.math.ethz.ch
Subject: [R] intercept value in lme
Dear all,
I've got a problem in fitting
(as suggested by Chuck) especially in interpretation
and helped me to understand what is really going on in the model.
Thank you once again - these are my first experiences with R as like as
with multilevel models, so... thank you for your patience!
Best regards,
victor
Chuck Cleland wrote
recommended 'update.packages(checkBuilt = TRUE)' and
the error still occures. Have any an idea what to do in this case?
Thanks!
victor
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PLEASE do read
???
3) and the last question - why for Pz there is an option to use demean=trend
and there is no such an option for Pu?
Kind regards,
Victor
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data scale vary
from 0 to 150 (m3/day), the trend scale go from 0 to 25, the seasonal scale
vary from -10 to 20. Is that normal? has a change of units occur? what does it
means?
Thanks for your answers.
Victor.
-
[[alternative
mainfunc(x)
Any help is greatly appreciated.
Victor
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Dear R people,
I would like to know if it is possible to compute the relative
importance of the inputs to a neurol network computed with the function
nnet in the nnet package.
Thank you so much!!!
Victor Robles
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);
}
}
}
exit(0);
Best regards,
Victor
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Based on a rather complicated model I do parametric bootstrapping to obtain
bootstrap distributions of the parameters of interest. What is the proper
way to test whether the parameter estimates are significantly different (the
differences in parameter estimates are expected from including
I'm looking for if the by vectors are of zero length. Would someone be
so kind as to provide me with a quick example of exactly how to do this?
Cheers,
Tim Victor
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PLEASE do
You could try something like this.
Simulating with a large number of grid cells is however very RAM expensive.
library(MASS)
library(spatial)
x - expand.grid(1:30, 1:30)
distances - as.matrix(dist(x, diag=T, upper=T))
Sigma - expcov(r=distances, d=10, se=1)
z - mvrnorm(n = 1, mu=rep(0,900),
Greetings everyone,
I am new at R. My questions is rather basic. Looking R manuals looks
like there should be a way to read MS excel files into R. Could
somebody tell me which library should I use for that?
Thanks in advance
Victor H. Marín
Laboratorio de Modelación Ecológica
Depto. de
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