• We'll be using Splus predominantly in this course. I like this software because: it is quite flexible - which is important in dealing with environmental data; it can produce very good graphics; you can easily save your computations and programs; and you can use it to build your own programs.
• The Student version of Splus is available for this course. I recommend you buy this program for you pc if you have one. Life is just easier if you can work at home. For those without computers, the pc's around Duke all have Splus on them.
• Since the interface is different depending on the version, The code I'll be using for demos and making available via this website will use the command line interface.
• Be patient before you declare this software useless. It takes time, like anything else.

Some important links:

• as we discuss and use various statistical techniques, the Splus Guide to Statistics will give additional info about specific statistical methods and functions.

• of particular interest here is the chapter on data objects, data frames, traditional graphics, and writing functions in Splus

NCSU S-Lab is an introduction to statistics and Splus from NC State University. To get going, start Splus on the Duke Statistics computer system and, from within Splus, type 'attach.slab()' and 'setup.slab()'.

Mike West's Splus links contain a cheatsheet and some tips about running Splus within emacs, printing on the acpub clusters, and other useful things. This is for those using unix machines.

Extensive documentation in postscript form.