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, term.
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 prob
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 R
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 matrix.
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
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 if
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 previous.best-comma
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 im
now a similar function to the
predict function which works with NMDS or does anybody know how to modify the
predict function so that it will work also for NMDS?
Thank you very much!
Kim
Original-Nachricht
> Datum: Fri, 04 Sep 2009 18:11:09 +0100
> Von: Gavin Simpson
> An
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
eleves.
Further 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
> An: David Winsemius
> CC: Kim Vanselow , r-help@r-project.org
> Betreff: Re: [R] rcorr.ce
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 calculat
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()
versuche URL 'http://cran.rakanu.com/bin/windows/contrib/2.8
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