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...r 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 Sciences Department of Primary Industries and Fisheries Telephone 07 4654 4282 Facsimile 07 4654 4235 Email terry.beutel@dpi.qld.gov.au Address DPI Hood Street Charleville Q 4470 PO Box 282, Charleville Q 4470 Website www.dpi.qld.gov.au Call Centre 13 25 23...

...ls(x=runif(100,-.5,1.5),y=runif(100,-.5,1.5),circles=runif(100)/30, inches=F,bg=1,xlim=c(0,1),ylim=c(0,1)) What I would like to end up with is a 2 dimensional matrix that indicates presence/absence of grass in any given pixel as per the image generated from the above graphics plot. Thanks Terry Beutel ********************************DISCLAIMER**************...{{dropped:15}}

On Solaris x86, does zpool (or anything) support PATA (or SATA) IDE SMART data? With the Predictive Self Healing feature, I assumed that Solaris would have at least some SMART support, but what I''ve googled so far has been discouraging. http://prefetch.net/blog/index.php/2006/10/29/solaris-needs-smart-support-please-help/ Bug ID: 4665068 SMART support in IDE driver

...How can this be, given that the density is highest at area=0? > simdat<-c(rep(0,8),rexp(92)) > myspline<-oldlogspline(simdat,lbound=0) > poldlogspline(fit=myspline, q=0) [1] 0 Any help to work out the probability of an area value in my distribution = 0 would be appreciated Terry Beutel Agri-Science Queensland [[alternative HTML version deleted]]

...nce interval for Time=0). But I am hoping there is a single modelling approach - in this case it would suggest likelihood of survival at Time=0 is <1, rather than the models I am familiar with that indicate survival probabilityat Time=0 is always 1. Any suggestion would be appreciated Dr Terry Beutel Senior Scientist Agri-Science Queensland ********************************DISCLAIMER**************...{{dropped:15}}