search for: mrpp

Hello, I'm looking for a R function proceeding MRPP (Multi-Response Permutation Procedures). Is it available? Thanking you in anticipation, Jeanne Vallet, PhD student [[alternative HTML version deleted]]

I have been trying to find a way to do a blocked MRPP (MRBP) and blocked ISA in R but have not found anything (in fact I found some things that say it is not possible). Does anyone know of a package, or written a script, that can do either of these? Thank you for any help.

hello, I'm looking for a R function proceeding MRPP (Multi-Response Permutation Procedures). Is it available? Mielke,P.W., Jr. 1984. Meteorological applications of permutation techniques based on distance functions. Pages 813-830. In P.R. Krishnaiah and P.K, Sen, eds, Handbook of Statistics, Vol.4. Elsevier Science Publisher. I know PC-Ord can...

...pile. I've tried setting PKG_FCFLAGS=-fno-range-check in a file named Makevars under the same directory as my Fortran files but this doesn't seem to be the right place because R CMD SHLIB still produces error messages related to integer overflow (the same error as when I run gfortran -c MRPP.f90 as opposed to gfortran -c MRPP.f90 -fno-range-check) when I type R CMD SHLIB MRPP.f90. So I was wondering if anyone could tell me how compiler option should be specified when using R CMD SHLIB? I appreciate the help. Marian K Talbert ASRC Management Servics Contracted To: US Geological...

#Hi, I am trying to run an MRPP with community data (spp-site-matrix). I use the following code: mzbtaxa_mrpp <- mrpp(mzbdist,mzbsites$Site) #mzbdist being a distance object (Bray-Curtis similarity matrix) derived from my sqrt transformed community data set, created with function 'vegdist', mzbsites$Site refers to fa...

Hi! My question(s) in the end might be silly but I am no expert on this, so here it goes: Noy-Meir (1973), Pielou (1984) and a few others have pointed to non-centered PCA being in some cases useful. They clearly explain that "it is the case" when multi-dimensional data display distinct clusters (which have zero, or near-zero, projections in some subset of the axes) and the task is

...e default is still simple permutation and this can be expressed by giving just the number of permutations on the command line. The functions using the new permutation scheme are adonis, anosim, anova.cca for CCA/RDA/dbRDA and hence also for ordistep etc., CCorA, envfit, mantel & mantel.partial, mrpp, mso, permutest.betadisper, permutest.cca, protest and simper. The change for functions is now complete, but same clean up and updating of documentation is still to be done. This is discussed in https://github.com/vegandevs/vegan/issues/31 - vegan 2.2-0 will also use parallel processing in several...

I am perfectly aware that this question is not an R question, at least not yet, but I have not succeeded in finding what I want in other ways, so ... What I am looking for are two algorithms, preferabley in Pascal, but other languages may do. For (a) systematic (complete) permutations for grouped data with unequal group sizes, and (b) random permutations for the same kind of data. I know

...pattern of space-use has changed from one year to the next. Relocations roughly follow a 2D Gaussian distribution, but points are often clustered near one or more 'cores'. Sample size varies from year to year with a minimum of n=34. We have applied multi-response permutation procedures (MRPP), but feel this test is too sensitive to the density of points (vs location). We have considered using a 2D generalization of the Cramer-von Mises test (to be adapted from Syrjala, 1996), but this test is sensitive to placement of the origin and probably requires gridding of the data. Does anybo...

Dear colleagues, has anyone an idea how to carry out a nonparametric manova for comparing K groups? has anyone a good package of non-parametric stats? Thank you for your help. -- José David Gómez Químico Farmacéutico Universidad Nacional [[alternative HTML version deleted]]

Dear All My data consists in 96 groups, each one with 10 observations. Levene's test suggests that the variances are not equal, and therefore I have tried to apply the classical transformations to have homocedasticity in order to be able to use ANOVA. Unfortunately, no transformation that I have used transforms my data into data with homocedasticity. The histogram of variances is at