search for: ppregion

...e "for i in" function. Is there any way to repeat this analysis 999 times. Here are the codes i used ; data4 <- matrix(c(sample(id),data1),203,3) a <- data4[,1] random.case=data4[a==0,] random.contr=data4[a==1,] random.case.locations<-list(x=random.case[,1],y=random.case[,2]) ppregion(xl=min(random.case[,1])-0.0001,xu=max(random.case[,1])+0.0001,yl=min(random.case[,2])-0.0001,yu=max(random.case[,2])+0.0001) random.l.case <- Kfn(random.case.locations,0.01) random.k.case <- ((random.l.case$y)^2)/pi random.contr.locations<-list(x=random.contr[,1],y=random.contr[,2]) ppreg...

Probably a simple question, but I can't find the answer to it ... In the 'ppinit' code it describes how it takes a 'file in standard format' and creates a point process object with it. Can anyone enlighten me as to what this 'standard format' is? The example given doesn't allow me to view the '.dat' file that apparently is in this format. Thanks, Suzie

I am trying to generate two dimensional random coordinates. For randomly distributed data I have simply used >xy<-cbind(runif(100),runif(100)) However I also want to generate coordinates that are more uniformly distributed, and coordinates that are more contagiously distributed than the above. Can anyone make any suggestions Thanks. Dr Terry Beutel Rangeland Scientist Animal