Table of contents
This web page is created for students in the Department of Statistics and Actuarial Science at the University of Waterloo. The aim is to present an overview of software packages which eventually will become essential or at least useful for statisticians.
This is an ongoing project and only part of the content on this page is actually written on behalf of the UWaterloo Department of Statistics and Actuarial Science. For topics we have not covered yet, we provide links to web pages and documents that we find useful.
The content specifically created for this web page so far is:
Tcl introduction (PDF) with R-Source
IDEs are used to add efficiency to the programming workflow. Many IDEs exist and their strengths are dependent on the programming language.
UWaterloo: Emacs and Eclipse (PDF) can be used for most programming languages including R, C, Java, and also LaTeX.
RStudio good R IDE that also integrates Sweave and knitR support.
LaTeX is a document preparation system which is used by many academics and students to write up their projects, assignments, publications and presentation slides.
Search the Internet for an introduction to LaTeX or read a book. Many good sources exist.
A popular book, based on Amazon ranking, is More Math Into LaTeX published by Springer, and for UWaterloo students available for free from the Springerlink website. The author made a set of free available videos for getting you easily started.
Once you have figured out the basics of LaTeX, inform yourself about:
Introduction to R, Emacs and Eclipse
Graphics: base, grid, lattice and ggplot2
Web page: Gallery of R graphics
Basic graphics in R
Web page: Hadley Wickham's ggplot2 web page
Book: Use R: ggplot2
Sweave and knitR let you mix together LaTeX source with R source. This makes for a great way to write your assignments.
Many good books on the topic now exist.
- Book: Advanced R by Hadley Wickham
- Book: Art of R Programming by Norman Matloff
- Book: R in a Nutshell by Joseph Adler
Functions and Methods
UWaterloo: Functions and Methods (PDF)
Object oriented model
External file: A (Not So) Short Introduction to S4 (PDF) by Christophe Genolini
Building your own library
Accessing C and C++ from within R
Book: Seamless R and C++ Integration with Rcpp by Dirk Eddelbuettel
External file: Calling C code from R an introduction (PPT) by Sigal Blay
Introduction to Tcl
UWaterloo: Tcl Introduction (PDF) with R-source
The tcltk library for R
Book: Programming Graphical User Interfaces in R by Michael Lawrence and John Verzani
UWaterloo: TK geometry manager (PDF) with R-source
Free SAS software is available to all University of Waterloo students, professors and researchers. Our free cloud platform, SAS OnDemand for Academics, includes SAS Studio and a connection to Jupyter Hub.
If SAS OnDemand for Academics does not suite your needs, please connect with Lindsay.Hart@sas.com to explore other free options available to you.
For access to free e-learning courses, curriculum content, and certification resources, please visit the SAS Academic Hub. You must register with your University of Waterloo email address.
Basics of UNIX
Web page: UNIX tutorial for beginners
UWaterloo math servers
To access the servers, login from anywhere via ssh.
Consider setting up ssh keys.
Once logged into the servers, you may then have to change your limit options.
limit cputime unlimited
limit filesize unlimited
This can happen automatically when you login by adjusting the .cshrc file in your home directory. Replace the "limit cputime" line with "unlimit cputime".
Use nohup to run your process. For example to run an R simulation use
nohup R CMD BATCH myRfile.R &
Author: Adrian Waddell <firstname.lastname@example.org>