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Dear R-helpers, I have a data frame that is similar to the one below. The row names are species and the E1, E2, E3 columns are presence/absence for a given site. I have an additional column 'origin' which has information about the species. E1 E2 E3 origin BASA 0 0 1 N BASO 0 0 1 N BRCO 0 0 1 U CAER 0 0 0 E CAGI 0 1 0 C CEFL 0 1 1 N I

Estimados integrantes de la lista. Disculpas por posteo cruzado. Estoy ajustando un modelo con lmer (lm4). La variable respuesta es un índice (ADI) que se midió en 3 áreas diferentes en 4 estaciones climáticas diferentes, así mis efectos fijos son area y estaciones climáticas. Cada área tiene 12 puntos de muestreo (Punto). En cada punto de muestreo el índice se midió repetidamente a

--- El lun, 12/9/11, Cristalina <pa100cia77@yahoo.es> escribió: De: Cristalina <pa100cia77@yahoo.es> Asunto: Re: [R-es] Cosinor Analysis Para: "Carlos Ortega" <coforfe@gmail.com> Fecha: lunes, 12 de septiembre, 2011 08:43 Hola,   Carlos, muchas gracias.   El método empleado en http://tolstoy.newcastle.edu.au/R/e6/help/09/01/0626.html (el url que se referencia

hi

Hello, i just want to share a quick n dirty patch to support nominal power in APC ups's. I was not sure about the name of the nut key and put it to ups.power.nominal Tested on APC SMARTUPS RS 550. basos -------------- next part -------------- A non-text attachment was scrubbed... Name: nut-2.4.3-apcnompower.patch Type: text/x-patch Size: 892 bytes Desc: not available URL: <http://lists.alioth.debian.org/pipermail/nut-upsdev/attachments/20101206/7e06dc75/attachment.bin>

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 -