similar to: calculating distances using Gower's coefficient on mixed variables.

Hi all, I am trying to compare two distance matrices with R. I would like to create a XY plot of these matrices and do some linear regression on it. But, I am a bit new to R, so i have a few questions (I searched in the documentation with no success). The first problem is loading a distance matrix into R. This matrix is the output of a the Phylip program Protdist and lookes like this: 5

Hello, Most of the work was done with dovecot 2.2.27 but I just upgraded to 2.3.2 and didn't see any change.? Some debug logs are below, is there something specific I could search them for? Sep 17 23:19:16 ezm11-pco dovecot: auth-worker(8299): Debug: Loading modules from directory: /usr/lib/dovecot/modules/auth Sep 17 23:19:16 ezm11-pco dovecot: auth-worker(8299): Debug: Module loaded:

I have a presence/absence matrix for which I create a distance matrix and then perform pco analysis on. /library(ecodist) table <- read.table("matrix.pa") dist <- dist(table, method = "euclidean", diag = FALSE, upper = FALSE) dist.pco <- pco(dist)/ When I plot the pco analysis of the distance matrix I want to be able to distinguish between certain characters, for

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).

Hi, I need to run a PCoA (PCO) for a data set wich has both positive and negative values for variables. I  could not find any distancecoefficient other than euclidean distace running for the data set. Are there any other coefficient works with negtive values.Also I cannot get summary out put (the eigen values) for PCO as for PCA.   Thanks. Dilshan [[alternative HTML version deleted]]

Hi all I?m trying to tests the significance of loadings from a ordination of 46 variables (caategorical, ordinal and nominal). I used dudi.mix from ade4 for the ordination. A years ago Jari Oksanen wrote this script implementing Peres-Neto et al. 2003 (Ecology) bootstraping method: netoboot <- function (x, permutations=1000, ...) { pcnull <- princomp(x, cor = TRUE, ...) res

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.

Dear R-helpers, I have two data frames, op and em4: > str(op) 'data.frame': 37 obs. of 5 variables: $ m : num 0.202 0.336 0.122 0.139 0.14 ... $ lln : num 0.798 0.643 0.863 0.835 0.823 ... $ rrn : num 0.789 0.702 0.894 0.895 0.923 ... $ asym2: num 0.177 0.304 0.108 0.187 0.274 ... $ asym3: num 0.0755 0.0975 0.0818 0.0651 0.13 ... > str(rownames(op)) chr

Dear R-user, I am trying to use the function 'parLapply' from the 'snow' package which is supposed to work the same wys as 'lapply' but for a parallelized cluster of computers. The function I am trying to call in parallel is 'dudi.pca' (from the 'ade4' package) which performs principal component analyses. When I call this function on a list of

Is it possible to make disappear the id numbers from scatter.dudi (mc analysis) ? a <- as.factor(c(1, 2, 3, 2, 1)) b <- as.factor(c(3, 2, 3, 1, 1)) x <- as.factor(c(1, 2, 2, 1, 3)) y <- as.factor(c(2, 2, 3, 1, 1)) dat <- data.frame(a=a, b=b,x=x,y=y) summary(dat) dat require(ade4) dat.acm <- dudi.acm(dat, scann = FALSE, nf = 2) scatter.dudi(dat.acm) Thank you very much !

Hola compañeros de la lista. Qué tal. Tengo un análisis de componentes principales, en el que se evalúan aproximadamente 1000 variables. Usando la función dudi.pca e inertia.dudi obtengo una cantidad de información sobre la influencia de las variables sobre los dos componentes principales. Me gustaría saber si existe alguna función que sobre esta información me arrojara la lista de

Dear All, I am using the scatter.dudi finction in the 'ade4' package to produce correspondence analysis (nice) plots. I do not seem to figure out how to plot the raw coordinates only -- or column coordinates only. I would appreciate any help in doing that. Here is the example I am following -- from the package. data(banque) > banque.acm <- dudi.acm(banque, scann = FALSE, nf =

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)

Hola! No he podido consultar la doc. del paquete ade4, algo debe estar caído en CRAN ahora mismo. Dos cosas sobre la metodología -aun desconociendo los detalles de cómo lo hace ade4: El output de un PCA, los "pesos" de cada variable en las dimensiones de los componentes se interpretan como correlaciones, a mayor valor absoluto mayor asociación variable-componente. Ahora, como tales

Hola compañeros de la lista, qué tal. Estoy haciendo un análisis de componentes principales utilizando las funciones "dudi.pca" (paquete "ade4") y "PCA" (paquete "FactoMineR"). Sucede que al comparar las coordenadas de cada individuo que obtiene cada función, las que corresponden al segundo componente principal tienen idéntica magnitud pero con

Hello list. I am running dovecot v2.2.13 on debian 8.8; I tried to add a "address =" statement for only localhost and one private IP, but then I got a complaint from system: dovecot[20515]: Error: systemd listens on port 143, but it's not configured in Dovecot. Closing. What is the proper way to resolve this? TIA & Regards, Dudi

Hi, I misunderstand the definition of Canberra distance in R. On Internet and in function description pages of dist() from stats and Dist() from amap, Canberra distance between vectors x and y, d(x,y), is : d(x,y) = sum(abs(x-y)/(x+y)) But in use, through simple examples, we find that the formula is : d(x,y) = (NZ + 1)/NZ * sum(abs(x-y)/(x+y)) with NZ = nb of pairs of coordinates that are

Hello, I'm trying to implement quota enforcement in our mailservers, and it is all working properly except that the quota warnings are not firing when the quota levels are passed.? the server stops accepting email when the quota is reached, and you can see tyhe quota usage through the email client connected through, but as the quota passes the set levels the /usr/local/bin/quota-warning.sh

Hello, I haven't received a reply since I sent my last logs in, so I thought I'd ask again and update the thread.? I had trouble getting the server to work properly on dovecot 2.3.2 so I rebuilt the server back on 2.2.27.? I've got the quota enforcement itself working, but the warnings still fail to fire. ? I've attached logs with mail_debug=yes for the period from the send which