similar to: installing labDSV library

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 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

Dear R-users: Im trying (using gam package) to develop a stepwise analysis. My gam object contains five pedictor variables (a,b,c,d,e,f). I define the step.gam: step.gam(gamobject, scope=list("a"= ~s(a,4), "b"= ~s(b,4), "c"= ~s(c,4), "d"= ~s(d,4), "e"= ~s(e,4), "f"= ~s(f,4))) However, the result shows a formula containing the whole

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

Dear R users, Up to now, I only used precompiled packages. As I am working on vegetation ecology, I would be interested in using a package not stored by CRAN called labdsv_0.9-1.tar.gz and developped by Dave Roberts at the National Center for Ecological Analysis and Synthesis (unfortunately I did not find any corresponding .zip file). Although I tried to follow the proposed guidelines to

I use AfterStep on Linux. I made an R.xpm file (attached) and put this icon in the "wharf". To invoke R I click on the R icon. I did not find an offical R.xpm, and so I am submitting this one for your collective consideration.... The idea behind the icon is that it looks like a scatterplot, which is "statistical". My main beefs with my R.xpm are that it doesn't have a

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Hello I will be applying MDS (actually Isomap) to make a psychological "concept map" of the similarities between N concepts. I would like to scale to a large number of concepts, however, the resulting N*(N-1) pairwise similarities is prohibitive for a user survey. I'm thinking of giving people random subsets of the pairwise similarities. Does anyone have recommendations for this

Dear all, I was looking for methods in R that allow assessing the number of significant principal coordinates. Unfortunatly I was not very successful. I expanded my search to the web and Current Contents, however, the information I found is very limited. Therefore, I tried to write code for doing a randomization. I would highly appriciate if somebody could comment on the following approach.

Canberra distance is defined in function `dist' (standard library `mva') as sum(|x_i - y_i| / |x_i + y_i|) Obviously this is undefined for cases where both x_i and y_i are zeros. Since double zeros are common in many data sets, this is a nuisance. In our field (from which the distance is coming), it is customary to remove double zeros: contribution to distance is zero when both x_i

Canberra distance is defined in function `dist' (standard library `mva') as sum(|x_i - y_i| / |x_i + y_i|) Obviously this is undefined for cases where both x_i and y_i are zeros. Since double zeros are common in many data sets, this is a nuisance. In our field (from which the distance is coming), it is customary to remove double zeros: contribution to distance is zero when both x_i

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

Hi everybody, I am doing Indicator species analysis using the function "indval" from the package "labdsv". For further analysis I need the values "Number of Significant Indicators" and "Sum of Indicator Values" that is calculated from the summary on my indval object. indication3<-indval(Veg,caver3,numitr=4999) summary(indication3) cluster

Dear all, I didn't find any graphical solution in the package "mva" to plot the canonical scores from a CCA (canonical correlation analysis). Does anybody knows how to plot or has anybody already programmed : - the map of the canonical scores, - the graph of the canonical weights, - the correlation circle i.e. the canonical loadings ? Thank you for help ...

Hi, It seems like a number of people on this list can install rgl but have problem loading it. I found myself in the same situation too. I have tried the workaround of removing /usr/X11R6/lib from DYLD_LIBRARY_PATH, but it doesn't seem to work for me, I am still getting the same error (that everyone else seems to get). Can anyone give me some ideas on what else to try? I have Mac OS 10.3.5,

Dear R-help, I'm trying to create a simple R package that contains 3 string functions, but I have run into some problems: what are the correct permission for the files in the package directory? Yours faitfully, Rasmus * checking for file `stringfun/DESCRIPTION' ... OK * checking package directory ... OK * checking for sufficient/correct file permissions ... WARNING * Found the

Hi After trying a simple decorana analysis (from the vegan package) on a simple data frame which contains no NA's the following error was returned: > tt_decorana(covN) Error in decorana(covN) : NA/NaN/Inf in foreign function call (arg 1) Have any vegan users come across this error and know what can be done about it? Cheers, J

Dear Colleagues, As a novice I was trying to calculate Shannon diversity index using diversity function in vegan package and kept having same error message. Error in sum(..., na.rm = na.rm) : invalid 'mode' of argument My dataset is from microarray and have abundant missing values, so I tried labeling them as NA and 0, but still same error message. Shannon index is negative

Dear R folks, One of the fantastic new tools in R is `Sweave'. I have tested it so much that I know it works and produces fine documentation, and with (GNU) Emacs/ESS it is nice to work with, too. I started to have a look at including some Swoven (is that a strong verb?) documentation with my R package, but it seems that there is no model to copy among those packages that I have installed in

Dear All I am trying to do a partial canonical analysis of principal coordinates using Bray-Curtis distances. The capscale addin to R appears to be the only way of doing it, however, when I try and calculate a Bray-Curtis distance matrix either using Capscale or Vegedist (capscale I understand uses Vegedist anyway to calculate its distance matrix), R uses up all available memory on the computer,