Hi Sarah, Maybe I expressed myself wrong, but so far, I don't have the species; I'm just wanting to generate simulated data. For example, creating an unbalanced (and random) number of species per group, and then run the for-loops
for example: Group1: 3 species Group2: 5 species Group3: 8 species then, I want to create an array "p" to be able to fill the following loop for (g in 1:groups){ for (i in 1:species[g]){ p[i] <- rnorm(1, mu.p[g], tau.p[g]) }#species } Andrea On Fri, Nov 9, 2012 at 2:26 PM, Sarah Goslee <sarah.gos...@gmail.com> wrote: > Hi Andrea, > > Without knowing what species is, I can't run your code as is, but try this: > > > groups<-3 > speciesgroups <- as.integer(runif(groups,1,10)) > # I'd use sample(1:10, groups, replace=TRUE) > p<-array(NA,dim=speciesgroups) > > > Mostly you're trying to use c() on something that's already a vector. > > Sarah > > On Fri, Nov 9, 2012 at 2:16 PM, Andrea Goijman > <agoij...@cnia.inta.gov.ar> wrote: > > I know this seems like a very easy question (and maye it is) but I've > been > > trying to simulate nested data and been unsucessful so far.. > > > > I want to simulate a varying number of species within a group; and then > > create an array to store the results of my for-loop. For example: > > > > groups<-3 > > species$groups<-as.integer(runif(groups,1,10)) #species per functional > > group > > > > ###create arrays to store results > > > > p<-array(NA,dim=c(species$groups)) > > > > So, far this is not working... > > > > Thanks! > > > -- > Sarah Goslee > http://www.functionaldiversity.org > -- --- Lic. Andrea Paula Goijman Grupo Ecología y Gestión Ambiental de la Biodiversidad IRB - INTA Castelar, Argentina agoij...@cnia.inta.gov.ar <http://inta.gob.ar/personas/goijman.andrea/> http://inta.gob.ar/personas/goijman.andrea/ PhD Candidate Georgia Cooperative Fish and Wildlife Research Unit D.B. Warnell School of Forestry and Natural Resources University of Georgia Athens, GA 30602 USA Tel. +706.206.4805 andre...@uga.edu [[alternative HTML version deleted]]
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