similar to: replacement has length zero

Hi, I'm working on the codes below however every time I run them when they get to OpenBUGS I keep getting the error message: array index is greater than array upper bound for hab. Any help would be greatly appreciated, Suzie Codes: ungulate <- read.csv(file.choose ()) #ungulate ungulate <- as.matrix(ungulate);colnames(ungulate)<-NULL;rownames(ungulate)<-NULL

Hi, I'm currently working on the below codes however whenever I run it in openbugs it gives an error message saying: unknown type of logical function error pos 76. Any help would be appreciated. ## bugs code library(R2OpenBUGS) sink("C:/Users/CCF/Documents/Suzie Work/PTY Project/Waterhole Correction/ungulate.txt") cat(" model{ # hyperparameters # habitat effects for each

Hello, I'm trying plot points in an NMDS according to a factor with two levels: fig<-ordiplot(canod.sol, type="none",cex.axis=0.9,cex.lab=0.1,pty="m",tck=-0.01) ordisymbol(fig, y = hab, factor = "habitat", rainbow = T,col = env, legend = F) This gets me part of the way - It produces a plot with blue triangles for the first factor level and red circles

Hi R-Users, I have a student doing work with lionfish and she has been trying to analyse a multivariate dataset to see what variables/factors are influencing the behaviour of lionfish. We have attempted a number of analyses, including rpart, relimpo and standard linear regression but we are not having much luck with quality output. The data is very non-normal and we would appreciate some advice

Dear all, I studied in tank prey fish behavior. Using the design described below (and R code), I want to test the effects of both habitat and predator (and interaction) on prey fish's vertical distribution, which was recorded (with repeated measures) as a categorical variable. I found that package mlogit might fit to my need but I don't know how to specify my complex design in the

Dear all, I ran the following model without any problem previously to the update of lme4: fm2<-lmer(data=NGud,family=poisson, seed~hab*seedtray +(1|site)+(1|site:hab)) I have 25 sites, 2 habitats ("hab") per site, 8 seedtrays per habitat (4 as control, and 4 as treatment), and I'm interested in comparing the number of seed in seedtrays as a function of the treatment and its

I ran the following code: And I run into problems with the last line of code (when it says hn<-......). I keep getting an error code: Error in distsamp(~hab ~ 1, peldist, keyfun = "halfnorm", output = "density", : object 'A' not found I would appreciate any and all help. rm(list=ls(all=TRUE)) #clear the computer's

All, I have three columns of data: id, date, hab. I am trying to set up a matrix that has the id as the rows, date as columns, and the hab value as the data values. Each id/date combination can only have one hab value. I would like for it to look something like this" date 1, date 2, date 3. id 0001 2 1 2 0002 3 5 6 I don't know how to set

Hello R-users, I have code that gives me the important variables from an analysis. I need to input these variables into a different analysis. To do this, I need to modify them slightly... 1) remove all numbers at the end of the variables, 2) remove all periods. I tried to do it with the awkward code below. It works to remove all the numbers, but when I try to remove the period everything

Hi All, I am frustrated by mixed-effects model! I have searched the web for hours, and found lots on the nested anova, but nothing useful on my specific case, which is: a random factor (C) is nested within one of the fixed-factors (A), and a second fixed factor (B) is crossed with the first fixed factor: C/A A B A x B My question: I have a functioning model using the aov command (see

Hi, there I first sent this e-mail a couple months ago, to no avail.Since I am not a member on your mailing list, so could you please cc: a response to me? I'll be sure to check the list today for replies. I am currently attempting to perform an ANOVA with both nested and normal factors. My problem is that R is treating my nested factors the exact same way as it would interaction terms.

Dear R-users: How does one calculate in R the odds ratios for a CATEGORICAL predictor variable that has 4 levels. I see r-help inquiries regarding odds ratios for what looked like a continuous predictor variable. I was wondering how to get the pairwise odds ratios for comparisons of levels of a categorical predictor variable. I can't seem to get the correct output using: >

Hello, I would like only to sync few directories between my two Linux boxes. I tries this but no help sudo rsync -avrtzun --stats \ --include-from "include-nix" \ --exclude-from "excludes-nix" \ --delete \ --progress \ -e "ssh -l hab" /home/hab/ desktop:/home/hab excludes-nix * include-nix Development/* www/* Personal/* can you help? -- OOzy Ubuntu-Feisty

Dear listers, I am trying to assess variance components for a nested, mixed-effects model. I think I got an answer that make sense from R, but I have a warning message and I wanted to check that what I am looking at is actually what I need: my data are organized as transects within stations, stations within habitats, habitats within lagoons. lagoons: random, habitats: fixed the question is:

hi all, I often have a data frame like this example data.frame(sq=c(1,1,1,2,2,3,3,3,3),area=c(1,2,3,1,2,3,1,2,3),habitat=c("garden","garden","pond","field","garden","river","garden","field","field")) for each "sq" I have multiple "habitat"s each with an associated "area". I

Dear All, I would like to make partial sums (or means or any other function) of the values in intervals along a sequence (spatial transect) where groups are defined. For instance: habitats<-rep(c("meadow","forest","meadow","pasture"),c(10,5,12,6)) observations<-rpois(length(habitats),2)

Hello all, Can any of you R gurus help me out? I?m not all that great at stats to begin with, and I?m also learning the R ropes (former SAS user). Here?s what I need help with? I have a nested sample design and ran a nested anova, but I don?t know how to interpret the results habitat (four different types) is nested in site (three types), and site is nested in gear (two types)

Hi all, I have some concerns regarding the rasterize option in R and I would like to know if the fun=max in rasterize in R provides similar results to the one achieved by using "Polygon to Raster using maximum-combined-area" in ArcGIS? I'm trying to rasterize a habitat layer to a raster of 10m spatial resolution using the function 'max' (e.g. r <- rasterize(ht, r,

Hi all, This is partly a statistical question as well as a question about R, but I am stumped! I have count data from various sites across years. (Not all of the sites in the study appear in all years). Each site has its own habitat score "habitat" that remains constant across all years. I want to know if counts declined faster on sites with high "habitat" scores. I can

Dear fellow R users, Keywords: Kruskal-Wallis, Post-Hoc, pair-wise comparisons, Nemenyi-Damico-Wolfe-Dunn test, coin package, oneway_test I am using the "oneway_test" function in the R package "coin" and I am obtaining results which I cannot believe are accurate. I do not wish to waste anyone's time and so if the following problem is rather trivial, I apologize, however I