Dear R-helpers,
I used the step.gam function (package gam, Trevor Hastie) on a data frame
without problems. Then I created a list of several bootstrap samples from this
data frame. Now I want to use the step.gam function on this list using a
for-loop. The code is working well until the step.gam
Dear r-helpers,
I use function step.gam (package gam, T. Hastie) with several explanatory
variables to build a model. Unfortunately, I obviously have too many variables.
This message occurs on my 4 core 64bit machine with 8GB RAM in R2.11.1 for
Windows (64bit build):
Error in array(FALSE,
Dear vegan-helpers,
I calculated an NMDS with metaMDS and then displayed the results with ordiplot.
The NMDS consist of 4 axes. I want to plot two diagrams: 1st vs. 2nd and 3rd
vs. 4th axis. I used the ordiplot-command choices = c(1,2) and c(3,4),
respectively. 1st vs. 2nd does not make any
Dear r-helpers,
I just read in an article by Virtanen et al. (2006) where
vegetation-environment relationships are studied by fitting smoothed surfaces
on an NMDS ordination using GAMs (Wood 2000). The authors describe, that they
used R² as goodness-of-fit statistic, which they compare to the
Dear r-helpers,
I just wanted to calculate a distance matrix using the function dist, with
method = 'Podani' (package: proxy).
The calculation is starting without error. Now the hourglass is running and
won't stop. Since more than 20 hours!
I do not think that the problem is with my input
Dear r-helpers,
I estimated a generalized additive model (GAM) using Hastie's package GAM.
Example:
gam1 - gam(vegetation ~ s(slope), family = binomial, data=aufnahmen_0708,
trace=TRUE)
pred - predict(gam1, type = response)
vegetation is a categorial, slope a numerical variable.
Now I want to
Dear r-helpers,
I want to test groups of samples for significant differences.
Question: Does Group1 differ significantly from group2.
This is a question to be answered by mann-whitney-u-test.
I know that I can use wilcox.test with 2 samples.
My problem: How can r perform the test automatically
Dear r-helpers!
How can I integrate other distances (in the form of a dist object) into
function metaMDS? The problem: metaMDS needs the original data.frame for the
calculation and only the default distances of function vegdist are allowed.
Any suggestions are greatly appreciated!
Thank you,
Kim
Dear R-community, dear Jari Oksanen!
I use metaMDS (package vegan) to calculate NMDS.
In a lot of papers I read that it is recommended to use previous best solutions
as a new starting configuration to get better results and to avoid local minima.
On the help page I found that a
Dear R-Users and Developers,
I want to calculate something like k-means clustering, but with ordinal data
(Braun-Blanquet) to combine this classification technique with a
NMDS-Ordination.
I found an algorithm especially developed for categorical data: k-modes (Huang
1998). Is there a function
An: Kim Vanselow vanse...@gmx.de
CC: r-help@r-project.org
Betreff: Re: [R] NA in cca (vegan)
On Fri, 2009-09-04 at 17:15 +0200, Kim Vanselow wrote:
Dear all,
I would like to calculate a cca (package vegan) with species and
environmental data. One of these environmental variables is
cos
Dear all,
I would like to calculate a cca (package vegan) with species and environmental
data. One of these environmental variables is cos(EXPOSURE).
The problem: for flat releves there is no exposure. The value is missing and I
can't call it 0 as 0 stands for east and west.
The cca does not run
suggestions would be greatly appreciated,
Thank you very much,
Kim
Original-Nachricht
Datum: Mon, 09 Mar 2009 13:27:29 -0500
Von: Frank E Harrell Jr f.harr...@vanderbilt.edu
An: David Winsemius dwinsem...@comcast.net
CC: Kim Vanselow vanse...@gmx.de, r-help@r-project.org
Betreff
Dear r-helpers!
I want to classify my vegetation data with hierachical cluster analysis.
My Dataset consist of Abundance-Values (Braun-Blanquet ordinal scale; ranked)
for each plant species and relevé.
I found a lot of r-packages dealing with cluster analysis, but none of them is
able to
Dear R-Help-Team,
I tried to use isoMDS-Function of the MASS-Package:
Message:
Fehler: konnte Funktion isoMDS nicht finden
(error: could not find function isoMDS)
so I tried to install the package MASS:
utils:::menuInstallPkgs()
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