similar to: What error distribution should I use?

Hi everyone! I have some doubts about mixed effect models and I hope someone could help me. I´m trying to analyze a dataset coming from samples of dung beetles in the same forest fragments along 3 consecutive years (1994, 1995 and 1996) and 14 years after (2010). I sampled dung beetles in 18 different fragments with different sizes and different degrees of isolation. My aim is to determine

Hi guys, I have a mail server running qmail with two network interfaces. All packages comes from the first one and I want to mark outgoing packages to route them using the second interface (ADSL). I have write this script, but it ins''t work. All packages are returning by the first interface... :-( x-x-x # Tables, networks, interfaces, addresses and gateways IF1=eth0 T1=100

Hi again. Perhaps a simple question this time.... I am analysing data with a dependent variable of insect counts, a fixed effect of site and two random effects, day, which is the same set of 10 days for each site, and then transect, which is nested within site (5 each). I am trying to fit the cross classified model using GLMM in lme4. I have, for potential use, created a second coding

Hi, I found this email on the R website. I am trying to figure out how to analyse a data set that I believe will need to be run through a procedure involving repeated measures, regression and mixed models. The data is of insect populations (dependent variable - either 0/1=binomial, or as counts=poisson) in sites with different characteristics (multiple independent variables which are both

My data have heterogeneity of variance (in a categorical variable), do I need to specify a variance structure accounting for this in my model or do GLMMs by their nature account for such heterogeneity (as a result of using deviances rather than variances)? And if I do need to do this, how do I do it (e.g. using something like the VarIdent function in nlme) and in what package? This is my first

Hello, I''ve done potencial replacement for RoR''s routing mechanism. It just works as an independent class so you can try bundled examples withou installing anything else. I didn''t integrated it into Rails (as a plugin?) because I don''t know if anyone would appreciate it etc. SiteMapper features: -------------------- 1. uses regexp mask to get variables from

Hello list! I have a problem with the function 'persp'. I have a data set with the variables X -> The X coordenate of the insect Y -> The Y coordenate of the insect deep-> how deep the insect buried into the soil. I would like to have a plot with a surface simulating the way the insect buried. Is it possible? If I type persp(x,y,deep) R gives me this error message Error in

I have written a function that goes through a database and calculates various metric scores and allocates them to a data set. For 400 of the 500 sites that I calculate these metrics for works fine and allocates the scores into the appropriate column. For some reason, some sites I run into the below problem: Here is what I am doing: > names(orig.metric) [1] "BenInsect"

Hi R-helpers, I have a dataframe (called data) with trees in rows (n=100) and insect species (n=10) in columns. My tree IDs are in a column called TREE and each species has a column labeled SPEC1, SPEC2, SPEC3, etc... I wish to randomize the values in my dataframe such that row and column totals are held constant, i.e. in my randomized data each tree will have the same number of individual

Dear R users, x-values (EI) = Adw, EG1, LA1, Ad1, LA2, LA3...(14 levels, insect stages) y-valus = antpop within the boxplot function x-values are ordered alphabetically Idea: x-values ranked by list order (insect stage: Egg stage 1 is followed by Larvae 1 and not by Egg stage 2 as it would be in an alphabetically order) Problems with the order(tapply()) function: variable lengths

Hi, I created a new rails application called demo using Instant Rails 1.7. It runs at the URL http://localhost:3003/blog/ The applications that a packaged with the zip file, cookbook and typo are currenlty the two virtual hosts. I can already run them using the following URLs http://www.mycookbook.com and http://typo/ Now, I want to add my application demo as the third virtual host in

Dear R users, I have a problem with something called "NaNs" in a nested mixed model. The background is that I have studied the number of insect nymphs emerging from replicated Willow genotypes in the field. I have 15 replicates each of 4 Willow genotypes belonging two 2 Willow species. Now I want to elucidate the effect of Willow genotype on the number of emerging nymphs. Previously I

Hi! I’m running glmer (lme4) models with biodiversity data and I’m having trouble with understanding/finding information on how the offset() option is implemented. Explicitly, I’m wondering if the offset is only implemented on the dependent variable (as I think it is), or does it also affect independent variables in the model (was told this by a stat guy at our department)? My data is

Dear all, I'm trying reproduce an example of bioassays Yielding Concentration-Mortality Data particularly control - adjustment model from book Bioassay of Entomopathogenic Microbes and Nematodes chapter 7 with R. I used glm with family=binomial and link=probit, but I do not know how to implement parameter gamma (control mortality - mortality of the untreated control insect in this exaple)

Hi, If I have the follow situation: A dependent variable (i.e. number of insects) that is affected by an independent variable (i.e. rain). The problem is that the measure of rain affect the population in other moment. So there exit a lag between the rain and the number of insects. Exist in R any tool to find what is this lag? Explain better. Suppose that I have a linear relationship

Hi, I am about to conduct an experiment of temperature dependent development of an insect. Here I would like to know is if I could be able to find the parameters of the models what I will use in data analysis with R program. I have found some other softwares that can be used for parameter estimation but liscence would be needed, not open source. So I prefer to use R langauge if it is reliable

I have insect data from twelve sites and like most environmental data it is non-normal mostly. I would like to preform an anova and a means seperation like tukey's HSD in a nonparametric sense (on some sort of central tendency measure - median?). I am searching around at this time on the internet. Any suggestions, books, etc. would be greatly appreciated. -- Stephen Sefick Research

I am trying to apply this technique (M.J Anderson 2001) to a dataset of aquatic insect abundances. There is a sample in the unrestored and restored segement of a stream for every time period. I would like to compare the centroids of the distance matrices for the treatments up (unrestored) and dn (restored) to see if there is a difference in insect communities between the treatments. I will not

Hello, For insect mortality data I'm trying to get an R script that will take the data from the raw form and convert it to Lx (% survival) for a number of treatments. The raw data has the number of days lived for each individual for the respective treatment. Thus, for example, when R selects the data for a single treatment I end up with the following vectors: >day=seq(from=0,to=6)

Hi, I'm a PhD student and I want to use the function 'daisy' from the package 'cluster' to compute dissimilarities. My variables are of mixed types so I use the argument 'stand' in daisy to define the type of my variables. I have the following error message : Warning message: binary variable(s) 13, 16, 17, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,