similar to: Cummulative Variance in Correspondence Analysis (ADE4)

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 Jesús, La respuesta, desde mi punto de vista, es un poco off-topic de lo que se trata en esta lista, pero comento como lo veo yo. Con el nivel de detalle que tienes, puedes hacer varias cosas: - Simplemente mantén en tu almacén un número de cuchillas mayor que la última vez que tuviste que pedirlas con urgencia. En los entornos de Producción, efectivamente el que rompas el stock

Buenas He creado los histogramas, y los he guardado en función de la referneica en una variable: histograma<-tapply(datos$consumo,datos$Material,function(x)hist(x,col=8) Pero ahora la variable histograma como array, donde estan las 300 referencias. Si entor en una, por ejemplo, histograma[1], veo como es un tipo list con los siguientes campos: $breaks [1] 0.0 0.2 0.4 0.6 0.8 1.0 $counts

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La referencia de las cuchillas, no son todas la misma Date: Thu, 10 Dec 2015 22:04:24 +0100 Subject: Re: [R-es] Tiempo de vida From: cof en qualityexcellence.es To: j.para.fernandez en hotmail.com CC: r-help-es en r-project.org Gracias. ¿Y qué es "Referencia"?... Gracias, Carlos Ortega www.qualityexcellence.es El 10 de diciembre de 2015, 21:48, Jesús Para Fernández

Hi all, I've been trying to figure out how to superimpose a histogram on a biplot that shows the relative contribution of each axis. I have been using the NIPALS function (http://biomserv.univ-lyon1.fr/~dray/ files/softwares/nipals.R) to run principal component analyses. Here is a toy example. source("http://biomserv.univ-lyon1.fr/~dray/files/softwares/nipals.R")

Dear R users, I would like to combine lattice plot (xyplot) and standard R plot (plot and plotCI) in an unique figure. I use the function "par()" to combine plot and plotCI and I use the function "print()" to combine xyplot. I tried to use these functions to combine xyplot and plotCI and plots but they do not work. Does anybody know how I can do this? Thank you very much in

Hello everybody: I get a strange behavior with seq, take a look at this: > msd <- seq(0.05,0.3, 0.01) > msd[13] [1] 0.17 > class(msd) [1] "numeric" > class(msd[13]) [1] "numeric" > typeof(msd[13]) [1] "double" now the problem: > msd[13] == 0.17 [1] FALSE It is strange only to me? Consider that: > 0.17 == 0.17 [1] TRUE and also > a

Si lo has guardado como csv separado por comas: Abre con cualquier editor el fichero: mira separador de listas y separador de decimal, supongamos que sea "; " para las listas (esto depende de tu configuración regional) y "." para los decimales (es como lo tienes en tu fichero) entonces dat<-read.csv("Variables.csv", header=T, sep=";",

Hello R-users I was puzzled by some strange results of an analysis and I found out what is for me a strange behaviour (I won't dare to say a bug) in both plot and points (and I suspect lines and other kind of lower level plots). If you try the following code: > data<-data.frame(dummy1=c(1:10),dummy2=c(1:10)) > plot(data$dummy1,data$dummy3) A plot of the values of dummy1 against

Hello R users, I am working with the GAM to inspect the effect of some factors (year, area) and continuous variables (length, depth, latitude and longitude) on the intensity and prevalence of the common parasite Anisakis. I would like introduce interaction in my models, both "continuous variables-continuous variables" and "continuous variables-factor". I have read some

Hi all, this is my first post in R devel? sorry if I lost some of the guidelines. Anyway this is my problem: Version: R version 2.15.2 (2012-10-26) Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit) I want to make an S4 class that use the output object of the function of nls.lm as a slot: setOldClass("nls.lm") setClass ( Class="TestClass",

Hi all, is there a function (or variable) I can use in a custom init script that identifies the init script name? i.e. I'm porting some init scripts from gentoo, where the $SVCNAME variable identifies the init script name within the script itself... d /* Davide Cittaro Cogentech - Consortium for Genomic Technologies via adamello, 16 20139 Milano Italy tel.: +39(02)574303007 e-mail:

Hello everyone, I am totally new to the R program. I have had a look at some pdf documents that I downloaded and that explain how to do many things in R; however, I still cannot figure out how to do what I want to do, which is to perform Discriminant Correspondence Analysis on a rectangular matrix of data that I have in an Excel file. I know R users frown upon Excel and recommend converting Excel

I have installed R 1.6 for Linux from source, but unfortunately, I didn't check if the Xwindow headers were available, so I have installed it without Xwindows capabilities. Thus, I want to uninstall it and install it again properly with the required features, but I don't know how to uninstall R when built from source. I would appreciate any help on this. Thanks very much in advance!

Hi all, I'm migrating from Gentoo to CentOS... I'm experiencing a rather low performance in NFS r/w (as client). NFS server is solaris (which exports zfs volumes via nfs). The very same exports were mounted with the same parameters (auto,nosuid,exec) on gentoo and centos server (bot x86_64)... It happens that centos is 5-10 times slower either in read and write operations... Ok,

Dear R help gurus, I have the following problem and I would be delighted if you could help me. >From a large (1500) cohort of patients we have been taking some measurements (ECG measurements, but its not important). The measurements are ordinal in 4 grades (Grade I-IV, grade IV being the most severe form). Every patients has been measured several times (usually once per year). The

Hi Thanks for your suggestion, I'm trying to install this package in Ubuntu (7.10) but unsuccessfully. Also tried in MacOSX, and no success too. _____ De: Ndoye Souleymane [mailto:ndoye_p@hotmail.com] Enviado el: miércoles, 05 de diciembre de 2007 13:38 Para: bady@univ-lyon1.fr; Florencio González CC: r-help@stat.math.ethz.ch Asunto: RE: [R] confidence intervals for y predicted in

Dear members, I am performing multivariate analysis on marine benthic populations using R. At first glance I found ca and VEGANO packages to be the suitable for the task, but neither has incorporated Detrended Canonical Correspondence Analysis (DCCA), which is just the method I want to apply on my data. I've looked for alternative packages containing the method, but my suspicion is that

I have the following list of observations of calendar time: [1] 03-Nov-1997 09-Oct-1991 27-Aug-1992 01-Jul-1994 19-Jan-1990 12-Nov-1993 [7] 08-Oct-1993 10-Nov-1982 08-Dec-1986 23-Dec-1987 02-Aug-1995 20-Oct-1998 [13] 29-Apr-1991 16-Mar-1994 20-May-1991 28-Dec-1987 14-Jul-1999 27-Nov-1998 [19] 09-Sep-1999 26-Aug-1999 20-Jun-1997 05-May-1995 26-Mar-1998 15-Aug-1994 [25] 24-Jun-1996 02-Oct-1996