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Here's someone that felt the need to put something better together. ---------- Forwarded message ---------- Date: Mon, 13 Jul 1998 04:22:15 -0400 From: Richard Thomas <rthomas@sy.net> To: BUGTRAQ@NETSPACE.ORG Subject: Slackware Shadow Insecurity Discovered by Ted Hickman: Recently I noticed something rather "insecure" about the slackware 3.4 /bin/login (and probably other versions). If the /etc/group file does not exist, any user who logs into the system i...

Hello, I am fairly new to R, but I am not new to programming at all. I want to generate random clusters in a 1,000x1,000 box such that I end up with a total of about 2,000 points. Once done, I need to export the X,Y coordinates of the points. I have looked around, and it seems that the spatstat package has what I need. The rMatClust() function can generate random clusters, but I have run into

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

Hi all, before I roll my own, naive implementation of a particular spatial point process, I thought I'd ask whether this has already been done. Specifically, I am looking for essentially the opposite of the Strauss and Mate'rn processes included in library(spatial) and documented in MASS. I am examining daily travel patterns, focusing on just the destinations of trips, not the