Displaying 20 results from an estimated 500 matches similar to: "assistance with RDAtest beta version application"
2009 Oct 20
1
kendall.global
Hi every body:
I need some help with kendall.global. The example in the manual seems not working well, and cannot used with my data, always the same error.
data(mite)
> mite.hel <- decostand(mite, "hel")
>
> # Reproduce the results shown in Table 2 of Legendre (2005), a single group
> mite.small <- mite.hel[c(4,9,14,22,31,34,45,53,61,69),c(13:15,23)]
>
2012 Aug 06
1
cannot find function "simpleRDA2"
Hi,
I am trying to run the command "forward.sel.par," however I receive
the error message: "Error: could not find function 'simpleRDA2'." I
have the vegan library loaded. The documentation on "varpart" has not
helped me to understand why I cannot call this function. Maybe I am
missing something obvious because I am still an 'R' novice.
Below is a
2008 Oct 16
3
defining a function using strings
Hi All,
I need to evaluate a series expansion using Legendre polynomials.
Using the 'orthopolinom' package I can get a list of the first n
Legendre polynomials as character strings.
> library(orthopolynom)
> l<-legendre.polynomials(4)
> l
[[1]]
1
[[2]]
x
[[3]]
-0.5 + 1.5*x^2
[[4]]
-1.5*x + 2.5*x^3
[[5]]
0.375 - 3.75*x^2 + 4.375*x^4
But I can't figure out how to
2008 Sep 27
3
Double integration - Gauss Quadrature
Hi,
I would like to solve a double integral of the form
\int_0^1 \int_0^1 x*y dx dy
using Gauss Quadrature.
I know that I can use R's integrate function to calculate it:
integrate(function(y) {
sapply(y, function(y) {
integrate(function(x) x*y, 0, 1)$value
})
}, 0, 1)
but I would like to use Gauss Quadrature to do it.
I have written the following code (using R's statmod package)
2010 Sep 21
1
partial dbRDA or CCA with two distance objects in Vegan.
I am trying to use the cca/rda/capscale functions in vegan to analyse
genetic distance data ( provided as a dist object calculated using
dist.genpop in package adegenet) with geographic distance partialled out
( provided as a distance object using dist function in veganthis method
is attempting to follow the method used by Geffen et al 2004 as
suggested by Legendre and . FORTIN (2010).
I
2004 Apr 21
1
(no subject)
Dear R-Help
Does "The R Package for Multivariate and Spatial Analysis Version 4.0
(Casgrain
and Legendre, 2001)" exist on CRAN and under what name? It supposedly has a
chronological clustering program ,CHRONO, that I would like to use.
Alternatively, I would ask if there is a R based program that performs
chronological clustering?
Thanks
Alex
Alex Hanke
Department of Fisheries and
2010 Dec 08
2
Legendre polynomials
Hello everyone,
I would like to find out if there are already implemented function for legendre
polynomials. I tried google but returns nothing. How do you suggest me to search
for that?
Regards
Alex
[[alternative HTML version deleted]]
2011 Dec 03
1
partial mantel tests in ecodist with intential NA values.
I would like to perform partial mantel tests on only within group values, with "between group" values assigned to NA.
This is possible in package ncf partial.mantel.test, however this sues a different permutation to that used in ecodist.ecodist will not accept data with NA values, returning a "matrix is not square error.
is it possible to perform this test in ecodist?
many thanks
2008 Apr 18
2
Correspondence and detrended correspondence analysis
Hi,
I hope someone knows the answer to this or has a real good reference about it (I am using Legendre & Legendre, Numerical Ecology, 1998).... My data is a data.frame with locations as rows and vegetation assemblages / species as columns. I've done a PCA, a correspondance analysis (CA) using ca in ca package and a detrended correspondance analysis (DCA) using decorana from vegan package.
2003 Sep 12
2
partial mantel
Dear all,
Has anyone written R code for partial Mantel Tests- as described for
instance in Legtendre & Legendre (1998) ?
In other words, in a community ecology analysis, I would like to calculate
the correlation between two dissimilarity matrices, controlling for a third
distance matrix representing geographical distances between sites.
Thanks!
Christophe Bouget
Biodiversité et gestion des
2012 Jun 06
2
pregunta sobre libro de Legendre
Hola a todos,
Por casualidad alguno que tenga el libro de Legendre de Numerical Ecology
with R sabe dónde o cómo bajar los data sets que se mencionan para seguir
los ejemplos?
Muchas gracias por su ayuda!
----
*Angela Andrea Camargo Sanabria*
Estudiante Doctorado en Ciencias Biológicas
Laboratorio de Ecología de poblaciones y comunidades tropicales
Centro de Investigaciones en Ecosistemas
2015 May 27
4
[Bug 2302] with DH-GEX, ssh (and sshd) should not fall back to unconfigured DH groups or at least document this behaviour and use a stronger group
On Wed, May 27, 2015 at 05:08:25PM -0400, Daniel Kahn Gillmor wrote:
> On Tue 2015-05-26 15:39:49 -0400, Mark D. Baushke wrote:
> > Hi Folks,
> >
> > The generator value of 5 does not lead to a q-ordered subgroup which
> > is needed to pass tests in
> >
> > http://csrc.nist.gov/publications/nistpubs/800-56A/SP800-56A_Revision1_Mar08-2007.pdf
>
> I
2005 Aug 08
2
INDVAL and mvpart
Hi,
I'd like to perform Dufrene-Legendre Indicator Species Analysis for
a multivariate regression tree. However I have problems with arguments
of duleg(veg,class,numitr=1000)function. How to obtain a vector of
numeric class memberships for samples, or a classification object
returned from mvpart?
thanks in advance
--
Best regards,
Agnieszka Strzelczak
2008 Jul 01
1
Orthogonal polynomials and poly
Dear All,
I have found in the poly help this sentence:
The orthogonal polynomial is summarized by the coefficients, which can be
used to evaluate it via the three-term recursion given in Kennedy & Gentle
(1980, pp. 343–4), and used in the predict part of the code.
My question: which type of orthogonal polynomials are used by this function?
Hrmite, legendre..
TIA
Giovanni
[[alternative HTML
2001 Jun 12
1
cophenetic matrix
Hello,
I analyse some free-sorting data so I use hierarchical
clustering.
I want to compare my proximity matrix with the tree
representation to evalute the fitting. (stress, cophenetic correlation
(pearson's correlation)...)
"The cophenetic similarity of two objects a and b is defined as the
similarity level at wich objects a and b become members of the same
cluster during the course of
2007 Dec 19
4
Squirrelmail + Dovecot + Maildir
I have been struggling with getting my Fedora 7 box set up to use
dovecot with Squirrelmail and Maildir. It works correctly with the exception of writing outgoing mail to the right folder (.Sent) or drafts (.Drafts). If I send a mail with Mutt, it writes the mail to the right place, so it has to be squirrelmail config or dovecot config. I want to use .Sent for sent-mail
(~user/Maildir/.Sent) and
2004 Nov 22
3
IPv6 and Asterisk?
Hi,
I've been experimenting with an IPv4 and IPv6 VoIP setup using SER.
I'm using Asterisk for voicemail, etc. but as this only works for
IPv4, I had to do a number of tricks to get it going for IPv6 phones.
I was wondering whether there is any interest or plans in the pipeline
to have Asterisk IPv6-enabled.
Any info, especially by the developers out there, would be welcome.
Thanks,
--
2009 Jan 02
1
R: numerical integration problems
hello all
happy new year and hope you r having a good holiday.
i would like to calculate the expectation of a particular random variable and would like to approximate it using a number of the functions contained in R. decided to do some experimentation on a trivial example.
example
========
suppose x(i)~N(0,s2) where s2 = the variance
the prior for s2 = p(s2)~IG(a,b)
so the posterior is
2006 Oct 24
1
r error
I hope you can help me. I am new to "R" and am working through the
example of quantile regression analysis in the paper by Roger Koenker
(quantile regression in R: a Vignette. I got to page 6 and in trying to
execute the following code I received the error below. I have searched
on the web and while I have found similar error messages, I have not
been able to ascertain the root cause.
2006 Feb 04
1
Mixed models and missing p-value...
Dear R-users,
I computed a simple mixed models which was:
mod<-lmer(nb ~ site + (1|patelle),tr)
The output was:
Linear mixed-effects model fit by REML
Formula: nb ~ site + (1 | patelle)
Data: tr
AIC BIC logLik MLdeviance REMLdeviance
1157.437 1168.686 -574.7184 1164.523 1149.437
Random effects:
Groups Name Variance Std.Dev.
patelle