similar to: memory failure in adonis function (permanova)

Hi! Thanks for providing great help in R-related statistics. Now, however I'm stuck. I'm not a statistics person but I was recommended to use R to perform a nmds plot and PerMANOVA of my dataset. Sample(treatment) in the columns and species (OTU) in the rows. I have 4 treatments (Ambient Temperature, Ambient temperature+Low pH, High temperature, High temperature+low pH), and I have 16

Hi, forgive me if someone has already posted about this but I have had a look and cannot find the answer, also I am very new to R and been getting the grips with this. I have been trying to use Adonis to find out if there are significant difference between groups on data that I have analyses with NMDS, and have been struggling with getting this to work and understanding what is going on. I am

Hi, I was wondering if someone can tell me what is the difference between "strata" argument (function "adonis" in "vegan" package) and using random effects in PERMANOVA+ add-on package to PRIMER6 when doing permutational MANOVA-s? Is the way permutations are done the same? Thank you very much in advance, Vesna -- View this message in context:

Hello, I want to perform a permanova where the first factor called Treatment has four levels. The second factor involves sampling the same research plots for four consecutive years, hence the repeated measurements. I have been able to use the adonis function from the package vegan to run this analysis. code below: TC.perMANOVA.adonis<-adonis(TC.PerMANOVA ~ Treatment*Year,

Hi everyone! I have data consisting of several response variables and several explanatory variables. I wish to do a permanova on this using the vegan library and the adonis() function. However, my data had several missing values in it. In order to 'fix' this I used the mice() function from the mice library to make 5 imputations for all the missing values. To do analysis on the 5 datasets

Hi, I'm trying to use adonis on a subset of data from a dataframe. The actual data is in columns 5:118, and the first four columns are various factors. There are 3 levels of the factor Habitat, and I want to examine differences among only two of them. So I started with: > CoastNear = subset(gel_data, Habitat != "I") The resulting data.frame has three levels for Habitat, but

Hello, I would like to use a permanova to analyze my repeated measures, multivariate data set using the package vegan (adonis function). I have several explanatory variables and many clinical biochemistry/hematological response variables (all continuous, non-normally distributed). My explanatory variables are: ID - 29 levels - individual subjects Treatment - 2 levels Sex - 2 levels Time -

I am trying to apply a permuation-based MANOVA (Anderson 2001) to a set of morphological data from three ecomorphs of fish reared under two different conditions and measured at two points during ontogeny. I will supply a distance matrix based on Procrustes distances calculated outside of vegan. I have not found an example of a design such as this for adonis. However, I have designed my factors

Hello all, I used google and looked at the documentation to find out why the ADONIS function is called adonis (in the vegan package). I am writing a document and would like to include a abbreviation list (similar to "ANOSIM = Analysis of Similarities"). regards, Steve

hello list, i'd appreciate help regarding formula expression in adonis(), package vegan. i'm interested in the effect of an impact on species composition and if this effect is the same for different sites. i have an impact survey with plot pairs, one plot with impact the other with similar ecolgical conditions but without impact, which is the control (factor1: impact). two different

Hi, Somebody knows how to make contrasts if i'm using the function adonis? Thanks.

I am trying to apply this technique (M.J Anderson 2001) to a dataset of aquatic insect abundances. There is a sample in the unrestored and restored segement of a stream for every time period. I would like to compare the centroids of the distance matrices for the treatments up (unrestored) and dn (restored) to see if there is a difference in insect communities between the treatments. I will not

Hi, Using Vegan package I was wondering if there's a way to use a distance matrix as an input for adonis (or any of the other similar hypothesis testing functions) instead of the usual species by sample table. Working in the field of microbial ecology, what I'm trying to do is to overcome the problem of having to use discrete units such as species or OTUs, which are problematic in

---------- Forwarded message ---------- From: <r-help-owner@r-project.org> Date: 2013/2/8 Subject: vegdist Error en double(N * (N - 1)/2) : tama?o del vector especificado es muy grande To: caro.bello58@gmail.com Message rejected by filter rule match ---------- Mensaje reenviado ---------- From: caro bello <caro.bello58@gmail.com> To: r-help@r-project.org Cc: Date: Fri, 8 Feb 2013

Dear All, I'd like to perform adonis (from the vegan package) rather than amova (in ade4) on some haplotype data, as I have crossed factors. Is there a simple way to tweak the source to allow weights (haplotype frequencies) in a similar way to amova? Best Simon

hello, i'd be happy if someone could provide help with the following problem: i have a dist.matrix that comes from vegdist() function of the vegan package. the used method = "horn" is not accepted as argument in hvcluster(...,dist.method="..."). is there a way to incorporate the method "horn" in hvcluster()? thanks in advance! yours, kay -- View this

Hi I am new to Cygwin and Linux. I installed R under Cygwin as part of the setup I chose "All" during installation, for all packages. So I have the FULL installlation of cygwin up and running, including gfortran. *Under Cygwin, how do I check and configure the path to the various libraries?* I am trying below command and it says, cannot find "lgfortran" But I have installed

Dear All, I would like to use the simprof function (clustsig package) but the available distances do not include Jaccard distance, which is the most appropriate for pres/abs community data. Here is the core of the function: > simprof function (data, num.expected = 1000, num.simulated = 999, method.cluster = "average", method.distance = "euclidean", method.transform =

I suppose that once you've got a 6502 working, adding support for a 4510 shouldn't be too difficult.... (http://c65gs.blogspot.com.au/) On Fri, Jul 4, 2014 at 10:38 AM, Bruce Hoult <bruce at hoult.org> wrote: > On Fri, Jul 4, 2014 at 12:02 PM, Edwin Amsler <edwinguy at gmail.com> wrote: > >> Well, the stack pointer be a single byte, so pushing things on there

Hi Folks - I'm experiencing a very strange problem with Server 2008 machines (for all intents and purposes related to Samba, it's Vista) connecting to a Samba Server. The Samba machine is a RHEL4.6 machine running Samba 3.0.25b. I am joined to the mixed mode AD domain via the command "net rpc join -U administrator <domain>". I am not using winbind or kerberos. Or