similar to: cca in ade4

Dear List, I tried to conduct cca using csv data but failed. The message said that data.frame is required. Please kindly share how to convert a csv-imported file to a data.frame. Thank you. Elaine code rm(list=ls()) spec <-read.csv("c:/migration/M_R_20100718_winterM_spec_vegan.csv",header=T, row.names=1) dim(spec) spec[1,] envi

Hi All, I am using canonical correspondence analysis to compare a community composition matrix to a matrix of sample spatial relationships and environmental variables. In order to parse out how much variance is explained purely by space (S/E) or the environment (E/S) I am using a conditional (partial) CCA. I want to test significance via Monte Carlo but I can not find a way to do this with a

Dear List, I am trying to plot the result of cca using matplot but failed. Pls kindly help and thanks. Elaine The error message was error in xy.coords(x, y, xlabel, ylabel, log = log) : (list) object cannot be coerced to type 'double' code rm(list=ls()) library(vegan) library(MASS) # input richness birdrich

Dear List, I tried to do cca based on species data and environmental variables (formula instead of community data). However, there was an error saying row sums must be >0. I searched the previous related messages but found few solutions. Please kindly help and thank you in advance. code This is vegan 1.17-3 Warning message: package 'vegan' was built under R version 2.10.1

Un saludo a todos. Estoy haciendo un ACC y utilizo el paquete Ade4. Cuando quiero realizar un plot del resultado utilizo plot(). el resultado son 6 gráficos: loadings, correlation, inertia axes, scores and predictions, eigenvalues y species. Lo que quería saber es cómo representar en una sola ventana (los 6 gráficos a parecen en la misma) el gráfico correspondiente a Species. Gracias por vuestra

Dear List, I am running constrained correspondence analysis for abundance data of 7 birds. However, I would like to check which bird prefers which environment gradient by showing the species with different colors of the dots in cca plot (package vegan). Please kindly help and thank you Elaine [[alternative HTML version deleted]]

Hi all, thank you for your answers; i've tried both cca from vegan library, and dudi.coa from ade4 library; one last question: my deal is mainly with contingency tables, like the one i'm posting here acciaieria<-c(.41,.02,.44,.04,.09) laminatoio<-c(.34,.28,.26,.01,.11) fonderia<-c(.48,.05,.34,.08,.05) leghe<-c(.45,.19,.25,.03,.08)

Hello, The ade4 package is now available on CRAN. ade4 is a multivariate data analysis package oriented towards statistical ecology. The main functions include one-table (PCA, COA, MCA, PCO, etc.), two-tables (PCAIV, Co-inertia, CCA, etc.) and k-tables multivariate analysis methods, with several Monte-Carlo tests and many graphical display methods. A complete documentation with many example data

Hello, The ade4 package is now available on CRAN. ade4 is a multivariate data analysis package oriented towards statistical ecology. The main functions include one-table (PCA, COA, MCA, PCO, etc.), two-tables (PCAIV, Co-inertia, CCA, etc.) and k-tables multivariate analysis methods, with several Monte-Carlo tests and many graphical display methods. A complete documentation with many example data

Dear R-Users, ade4TkGUI is a new package available on CRAN. It implements a Tcl/Tk graphical user interface (GUI) for the ade4 package. Only the most basic functions of ade4 have a GUI in this first version : classical one-table data analysis methods (PCA, COA, MCA, PCO, etc.), one table with groups of rows (BGA, WGA, DA), and two-tables analysis methods (Coinertia analysis, CCA, PCAIV).

Dear R-Users, ade4TkGUI is a new package available on CRAN. It implements a Tcl/Tk graphical user interface (GUI) for the ade4 package. Only the most basic functions of ade4 have a GUI in this first version : classical one-table data analysis methods (PCA, COA, MCA, PCO, etc.), one table with groups of rows (BGA, WGA, DA), and two-tables analysis methods (Coinertia analysis, CCA, PCAIV).

I performed canonical correspondence analysis (cca) with the example data of vegan, but I'm not able to obtain a table like scores() for the constraining variables. I can see them in the summary() mode, but it would be great to have in a separate table. Any suggestion?, thanx Gianandrea require(vegan) data(varespec) data(varechem) vare.cca<-cca(varespec,varechem) scores(vare.cca)

Dear all, I realised a correspondence analysis with function cca() of vegan library. Just like in Okansen (2010) in the example of R help: library(vegan) data(varespec) data(varechem) vare.cca<-cca(varespec~ Al + P + K, varechem) With plot.cca() function I represented the species matrix in the next way: plot(vare.cca,display="species") Being similar to: plot((c(-2,2)),(c(-2,2)),

Hi All I am not clear quite how one could use cca from package vegan and the associated predict.cca to predict species abundance from environmental data (or if this is possible in a generalised way). In other words, can one derive a cca object based on known community data and use that to predict e.g. species abundances in a different number of samples based on environmental data? The help

Hi, I have a couple questions about fitting environmental (land use factors, plant species presence-absence, and soil variables) constraints to my CCA biplot. 1. After successfully plotting species and site scores in my CCA, I have been trying to insert the biplot arrows of the environmental constraints in my data set using the text() function. When I do that, the plot changes completely. Is there

Performing CCA in R I know they say don't say please... or plead...but I'm sorry but I really need some help with this problem. I have tried to perform CCA in R and I can never do this successfully. Can someone please tell me what I'm doing wrong. I can't attach any file...so Please email me and I'll attach the necessary files. (there's only two) the files will be my CCA R

Dear all, I would like to calculate a cca (package vegan) with species and environmental data. One of these environmental variables is cos(EXPOSURE). The problem: 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. The cca does not run with missing values. What can I do to make vegan cca ignoring these missing values? Thanks a lot,

Dear List, I would like to obtain biplot containing arrows and variable labels. However, after checking the previous message and package CCA and function anacor, my attempt remains an open question. Please kindly advise code or package I might miss to achieve it. Thank you. Elaine [[alternative HTML version deleted]]

Hii rstudio members I am learning rstudio, For my manuscript I am trying to plot CCA using species and environmental data. But I am getting error like Error in cca.default(sptrans, envtrans) : all row sums must be >0 in the community data matrix *My code is like * library(vegan) library(ggplot2) library(dplyr) rassspec<-read.csv("C:/Users/hp/Desktop/R_data/rassspec.csv",

Hi, I've just started using R and am having some problems with CCA using vegan. I'm looking at abundance p/m2 (hence decimals) vs environmental variables and have been using http://ecology.msu.montana.edu/labdsv/R/labs/lab12/lab12.html to guide me through. My organism data looks like this: Sample "Species_1" "Species_2" "Species_3" etc Sample_1