similar to: extract values from summary of function indval of the package labdsv

Hi, I'm trying to find out what threshold of indicator value in labadsv should be used to accept a specie as an indicator one? So far I assumed that indval=0.5 is high enough to avoid any mistakes but it was based only in my intuition. I'd be greatful for any advise best regards Agnieszka

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

I am trying to install labdsv from CRAN binaries (or source) to use with R 2.3.0 from Mac OS X, but the package fails to install properly. Here is the message that I receive from R when I type library(labdsv): Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library '/Library/Frameworks/R.framework/ Resources/library/labdsv/libs/ppc/labdsv.so':

Hi Listers, This has a simple answer but it has been eluding me nonetheless. I have been building a PCA plot from scratch with the ability to plot predefined groups in different colors. This has worked fine but when I try to get a polygon drawn around each of the groups it is not recognising my colour file correctly and is only printing the first colour in the file....code is below

Hi everyone, I am doing PCA with labdsv package. I was trying to create a biplot graphs in order to observe arrows related to my variables. However when I run the script for this graph, the console just keep saying: *Error in nrow(y) : element 1 is empty; the part of the args list of 'dim' being evaluated was: (x)* could please someone tell me what this means? what i am doing

I am trying to install labDSV from http://labdsv.nr.usu.edu/ into R-Windows 1.5.0. It only comes as a TAR file which extracts into folders that seem to match those for other libraries DATA, MAN, R and SRC. I have manually copied these folders into a folder called labDSV under the Library directory under R. However when I load the library I get a message that the library contains no R code.

I have a general question about using thin plate splines in the surf and ordisurf routines. My rudimentary knowledge of a gam is that with each predictive variable there is a different smooth for each one and then they are added together with no real interaction term (because they don't handle this well?). Now, If I have two variables that have a high D^2 score and a low GCV score (I am

Hello, *Error in tx %*% comb : non-conformable arguments* Suggestions greatly appreciated. I am a beginner and this is my first time posting. I would like to get the summary for indicator species analysis, using package indicspecies with multipatt. I am getting errors, I believe, do to my data organization. After reorganizing and reorganizing, nothing has helped. > data<-

Hi Ansely, As Jim points out we really need some sample data to go with the code. Have a look at ?dput which is the best way to supply sample data here or have a look at http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example and/or http://adv-r.had.co.nz/Reproducibility.html for some general suggestions on asking questions here---including discussions of using

Hi Ansley It looks good to me but I did not run the analysis as I am too lazy to install "indicspecies". The inclusion of the raw data is a great help. John Kane Kingston ON Canada -----Original Message----- From: daily.puja at gmail.com Sent: Tue, 19 Apr 2016 08:16:54 -0400 To: jrkrideau at inbox.com Subject: Re: [R] Indicator Species analysis; trouble with multipatt Thanks for the

Hi; I am working with the similarity matrix below and I would like to plot a two-dimensional MDS solution such as each point in the plot has a label. This is what I did: data <- read.table('c:/multivariate/mds/colour.txt',header=FALSE) similarity <- as.dist(data) distance <- 1-similarity result.nmds <- nmds(distance) plot(result.nmds) (nmds and plot.nmds as defined at

Hello Stephen, I am happy that you help me. Thanks a million. It is a good feeling that you confirm my assumption that dsvdis is not able to deal with missing data, because it says me that I am not completely incapable. Okay now I have the problem what to do. I used this function ´cause there is an option to weight columns differently what I haven´t found in other functions. But now I

Hello you all! I am a completely new user of R and I have a problem to solve. I am using Mac OS X on a PowerBook. I have a table that looks like this: species X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19 X20 X21 1 Anth_cap1 1 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 2 Anth_crin1 1 0 0 1 0 1 0 0 1 0 1

Hello, We are trying to find a function to compute "stress" in our multidimensional scaling analysis of a dissimilarity matrix. We've used "dist()" to create the matrix and "cmdscale()" for the scaling. In order to determine the number of dimensions we would like to plot stress vs. dimensions. However, we cannot find a pre-made command. It seems that other

Hi, I need to run a PCoA (PCO) for a data set wich has both positive and negative values for variables. I  could not find any distancecoefficient other than euclidean distace running for the data set. Are there any other coefficient works with negtive values.Also I cannot get summary out put (the eigen values) for PCO as for PCA.   Thanks. Dilshan [[alternative HTML version deleted]]

Hello. Does anyone know of an existing function that takes a list in the form of: Plot1 Species1 Abundance1 Plot1 Species2 Abundance2 Plot2 Species1 Abundance1 Plot2 Species3 Abundance3 . . . PlotN SpeciesN AbundanceN and translates into a matrix in the form of Species1 Species2.... SpeciesN Plot1 Abundance1 Abundance2... AbundanceN Plot2 Abundance1

Dear All, a short and maybe simple question: I have to rank all values in a matrix from 0 to X, [1] [2] [3] [4] [1] 0.1 2 0 3 [2] 50 3 3 1 [3] 100 1 1 0 [4] 100 2 2 0 0->0 0.1->1 2->2 3->3 50->4 100->5 (X=5) is there any function for this? i have looked in several packages (vegan, labdsv etc.) because I am working with species by site tables,

Colleagues, I have a routine in package labdsv that calls a FORTRAN subroutine. Recently, I was informed that it sometimes gives different results on a PC and Mac, and that the PC version is clearly wrong. I tested it on linux (because I don't have a PC), and I get the same (incorrect) behavior as the PC. Simply by inserting debug WRITE statements in the FORTRAN I would get different,

Dear friends, I cannot load the pachkages labdsv...which i do not understand is linked to 'mgcv' package. Anyway neither the last is loadable in my new R 2.10 version. Th emessage on the screen is the following: This is mgcv 1.6-1. For overview type `help("mgcv-package")'. Error in runif(1) : .Random.seed is not an integer vector but of type 'list' Error :

Dear R developers and users! I have calculated metric MDS by cmdscale from matrix of distances (dissimilarities). I would like to ask you how can I estimate how well this new mapping represents characteristic features of my data set? Thank you for any suggestions. Best, tomek