similar to: Bootstraping with MANOVA

Is there a function that will allow me to run all model iterations if I specify a full model? I am using information criteria to choose between possible candidate models. I have been writing out all possible model combinations by hand, and I am always worried that I am missing models or have made a mistake somewhere. It is also difficult to alter models if I want to change a term. For example,

Dear List, I am having problems running stepAIC with a negative binomial regression model.  I am working with data on manta ray abundance, using 20 predictor variables.  Predictors include variables for location (site), time (year, cos and sin of calendar day, length of day, percent lunar illumination), oceanography (sea surface temp mean and std, sea surface height mean and std), weather (cos

Dear R-users -- -- Heather Anne ------------------------------------------- Heather A. Wright, PhD candidate Ecology and Evolution of Plankton Stazione Zoologica Anton Dohrn Villa Comunale 80121 - Napoli, Italy website<http://www.szn.it/SZNWeb/cmd/ShowArchiveItem?TYPE_ID=HUMANRESOURCE&ITEM_ID=21942&LANGUAGE_ID=2> Lab: +39 081 583 3201 Cell: +39 366 484 2196 Fax: +39 081 764 1355 *

Apologies for the empty email earlier! I have species abundance data sampled at a weekly frequency or sometimes monthly depending on the year. The goal is to identify the dates in an annual cycle in which the cumulative abundance of a species reaches some threshold. Here's an example of the data for 1 species over an annual period: "mc_pheno" is the object created from this data:

Hi, Suppose I have: > summary(manova(plank.man)) Df Pillai approx F num Df den Df Pr(>F) plankton.new[, 1] 1 0.5267 9.8316 6 53 2.849e-07 *** Residuals 58 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 My understanding is the MANOVA summary returns a list.

Hello, I am currently trying to show the abundance of two species of zooplankton within the North Sea as pie chart bubble plots. I followed Werner Wernersen's advice in R help (http://finzi.psych.upenn.edu/R/Rhelp02a/archive/48644.html) and used Paul Murrell's paper "Integrating Grid Graphics Output with Base Graphics Output" (in R News) to try and do this (using the gridBase

Hello eveybody, I am studying the vertical distribution of plankton and want to study its variations relatively to several factors (time of day, species, water column structure etc.). So my data is special in that, at each sampling site (each observation), I don't have *one* number, I have *several* numbers (abundance of organisms in each depth bin, I sample 5 depth bins) which

Sorry for entering late in the thread, but I was absent last week. I am developping an alternate GUI for R (and also Splus, Octave, Scilab, Matlab, Ox & Mathematica). The project started 3 years ago, but it is progressing slowly, since I am currently the only developer on the project and had to do it during my extra time. Now, it is going a little faster because I got some time and money

PROBLEM: Cross-subnet browsing is not working. Browse lists on all machines contain only the machines on the local subnet. SUMMARY OF ANALYSIS: The Local Master Browser (LMB) running Windows XP (ZAYIN) never contacts the Domain Master Browser (DMB) running Samba (BETH) to initiate a synchronization of browse lists.

CRAN (and crantastic) updates this week New packages ------------ * apcluster (1.0.1) Ulrich Bodenhofer http://crantastic.org/packages/apcluster The apcluster package implements Frey's and Dueck's Affinity Propagation clustering in R. The algorithms are analogous to the Matlab code published by Frey and Dueck. * BioPhysConnectoR (1.6-1) Franziska Hoffgaard

The Sieve plugin page of Wiki documentation (http://wiki.dovecot.org/LDA/Sieve?highlight=%28filter%29) says: "It's also not a good idea to build the plugin against self-compiled Dovecot sources, but then actually use a prebuilt binary package of Dovecot." Why isn't a good idea? Ciao, luigi -- / +--[Luigi Rosa]-- \ Every time you've heard someone say they saw a

Hi, I was wondering whether there is an implementation of the Kolmogorov-Smirnov goodness of fit test for discrete, ordinal scale data in R - I've only managed to find the test for continuous data. Thanks! Gila

Dear all I would like to use R and make some maps. I want to have strict control, over the details of the produced map, like remove borders, city names, add markers, add labels. Is there any package apart Rgooglemaps that can do something like that? B.R Alex [[alternative HTML version deleted]]

I know citation() gives the R citation to be used in publications. Has anyone put this into endnote nicely? I'm not very experienced with endnote, and the way I have it at the momeny the 'R Development Core Team' becomes R. D. C. T. etc. Cheers.

Hi all, I have never worked with this kind of data before, so Please help me out with it. I have the following data set, in a csv file, looks like the following: Jan 27, 2010 16:01:24,000 125 - - - Jan 27, 2010 16:06:24,000 125 - - - Jan 27, 2010 16:11:24,000 176 - - - Jan 27, 2010 16:16:25,000 159 - - - Jan 27, 2010 16:21:25,000 142 - - - Jan 27, 2010 16:26:24,000 142 - - - Jan 27, 2010

Dear R-helpers, I have 4-dimensional atmospheric data (x,y,z,t), which I want to analyse on spatio-temporal diversities. As far as I understand there only exists the possibility to construct time series as two-dimensional matrices (mts). For the moment, I hold it in different objects: 1. a four-dimensional array for the spatial related analyses 2. a two-dimensional mts timeserie, which was

Hello, i have a xls file. I will read it in r, what library-command i use for this?? any ideas?? Thanks Michele [[alternative HTML version deleted]]