similar to: Help with RDA analysis, function ''varpart'' in vegan

Dear R-users I applied vegan's varpart function to partition the effects of explanatory matrices. Adj. R square for the unique fraction [a] is 0.25. Does anyone know why the decomposition by hand using rda gives me a different result for [a] (constrained proportion is 0.32)? I used cbind() for the conditional fractions, but it should be similar to condition()? Thanks very much

I am not familiar with the vegan package, so I am just making a guess here. If 'na.action=na.omit' is part of the call to varpart, try removing it from the function call and moving it above as follows: options(na.action="na.omit") RDA_Ger <- varpart(comm, x1, x2, x3, transfo="hellinger", scale = FALSE) Maybe that will help. Regards, Eric On Sat, Sep 16, 2017 at

I'm trying to perform a RDA analysis in the vegan package using the "varpart" function. I have a matrix of community structure data in different sites (rows), which I want to explain using 3 matrices of environmental data. The 3 matrices are: water quality parameters; local land use variables; total land use variables. In each matrix, the number of the rows is the same (the

Hi, I did a linear regression with 5 explanatory variables. Now, to see the contribution of each variable, I use varpart from vegan library. But varpart don?t accepts my 5 explanatory variables, it accept only 4. 1- How must I do to use my 5 explanatory variables? 2- Is it the sum of variance fraction of each variable must be equal to 1. Thanks for your help. Komine -- View this

I am trying to find the percentage of the parameters explaining the bacterial community composition. I have one data matrix with relative abundance of OTUs and one with environmental parameters. I used varpart in vegan package but the values in the venn diagram is bigger than 100% in total.How is it possible? What might be the reason? Thank you library(vegan) gotud <-

This is not a request for coding help so there is no reproducible code, rather I am trying to figure out if anyone had had a similar experience. My question is related to partitioning the variance in rda (vegan) results for multiple groups of variables. I have a high dimensional dataset with 79 explanatory variables and 9 response variables. Within those 79 explanatory variables there are ~8

Hello I am using Jari Oksanen's CCA routine from the Vegan package on some estuary data, following a technique applied in (Anderson, M.J. & Gribble, N.A., 1998, Partitioning the variation among spatial, temporal and environmental components in a multivariate data set, Australian Journal of Ecology 23, 158-167). Some steps in the process require that the dependent matrix be constrained by

Hi All, I am trying to perform CCA and RDA several times to compare their performances. To do that I put this two functions of vegan package inside a for loop. Unfortunatly when I am trying to perform the anova(by=axis) to test the individual axes the function don't recognize the species data.frame. The same problem occurs whem I try to run forward selection. The same problem occur when I try

Dear R users, I know, the topic is more related to the r-sig-ecology. I decided to post it to the r-help as some specific topics of my question deals with NA-values and RDA (R vegan) and an adaptated RDA code due to a specific study design (including a second matrix). I am calculating a RDA for a dependent matrix (different variables for tree performance) and different explanatory

Dear vegan team, Vegan development happens now completely in github. R-Forge repository is no more in sync with github. I tried to commit all github changes to R-Forge, but a week ago I got a conflict in file and I haven't had time to resolve that conflict. You can follow vegan development and vegan discussion also without signing to github. The system seems to be completely open and does not

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

The R-exts manual says about 'Suggests' field in package DESCRIPTION: "The optional `Suggests' field uses the same syntax as `Depends' and lists packages that are not necessarily needed." However, this seems to be a suggestion you cannot refuse. If you suggest packages: (a line from DESCRIPTION): Suggests: MASS, ellipse, rgl, mgcv, akima, lattice This is what happens:

Hi Im using the VEGAN package to do an RDA ordination. In my plot I get my environmental scores as arrows/vectors, but my species scores as points. I would like to get the species scores as arrows as well. I tried the envfit function, and this creates arrows, but the lenght is not proportionate to the strengh of the correlation and the point is still there (so I both have point and arrow). fit

Hi, I am trying to run the command "forward.sel.par," however I receive the error message: "Error: could not find function 'simpleRDA2'." I have the vegan library loaded. The documentation on "varpart" has not helped me to understand why I cannot call this function. Maybe I am missing something obvious because I am still an 'R' novice. Below is a

I am getting the following erro rmessage in ordistep. I have a number of similarly structured datasets using ordistep in a loop, and the message only occurs for some of the datasets. I cannot include a reproducible sample - the specific datasets where this is occur ing are fairly large and there are several pcnm's in the rhs of the formula. thanks for any pointers that may allow me to

Dear r-Community, Step1: I would like to calculate a NMDS (package vegan, function metaMDS) with species data. Step2: Then I want to plot environmental variables over it, using function envfit. The Problem: One of these environmental variables is cos(EXPOSURE). But 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. Therefore I

Full_Name: Jari Oksanen Version: 2.0.1, 2.1.0 beta (2005-04-17) OS: Linux Submission from: (NULL) (130.231.102.145) If name ends with "and", such as "Roeland Lastname", citation() will chop "and" as a separate word giving "Roel and Lastname". This is the case in the upcoming release of vegan (1.6-8) just submitted to CRAN. Basically, this seems to happen

Hi, I've been using R for a while now but I've got a problem with metaMDS (in the vegan package) that I can't quite figure out. I have a set of proportion data (from 0-1, rows sum to 1) that I apply metaMDS to using the command: nMDS.set=metaMDS(sqrt(test.set),distance="euclidean",k=3,zerodist="add",autotransform=FALSE) I am using a squared-chord distance

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