Web resources

General resources

Set Up a CLAS Linux Account
Quick Start to Linux Computing
Getting Started with Your CLAS Linux Account
Accessing the Linux Environment Remotely
Process Management
Restoring deleted files on the CLAS Linux system
Using the NoMachine NX Client on MacOS
Coding standards (from Tierney's webpage for 22S:248)

ICON
Linux Cookbook: Tips and Techniques for Everyday Use
Introduction to Linux: A Hands-On Guide by Machtelt Garrels

R project web page
NY Times article on R
LaTeX project web page
Text editing in Linux
An Introduction to R (under Manuals on R web page)
Statistical Analyses and Reproducible Research, R. Gentleman and D.T. Lang
The Sweave Homepage (includes Sweave manual)
The Little SAS Book: A Primer -- A programming approach , 2012

Resources for new programmers

R for Beginners by Paradis Chapter 5

LaTeX environments for Windows

Installing MiKTeX and TeXnicCenter on Windows
Emacs for Windows
Emacs for Windows and Mac, including R interface

On-campus resources

`Short courses from the Statistical Outreach Center

Reading for week 1

Linux Command Read the section called "Learning the shell"
Getting a CLAS Linux Account

Reading for week 2

Math into LaTeX, Gratzer, Introduction and Chapter 1
BibTeX Basics
BibTeX style files for statistics journals>

Reading for week 3

For everyone: Introduction to R Read Chapter 1 for tips on using R under Linux.

If you are new to R: R for Beginners by Paradis Read Chapters 1-4

Otherwise, start reading Using R for Data Analysis and Graphics - Introduction, Examples and Commentary” by John Maindonald

Reading for week 4

Using R for Data Analysis and Graphics - Introduction, Examples and Commentary” by John Maindonald , Chapters 2, 3, and 7; if you are already familiar with R, read Chapters 4 and 11 as well

An Sweave Demo; Literate Programming in R; Reproducible Research
A nice introduction to Sweave with examples and template

Reading for Week 5

Lectures on Bootstrap, Jackknife, and Resampling Methods (Click Teaching; Previous teaching;Lectures on resampling methods.
Read the 4 lectures entitled Definitions; Non-parametric bootstrap; Parametric bootstrap; and Jackknife.

Bootstrap and Jackknife Calculations in R

Bootstrap Confidence Intervals: When, Which, What?

Readings for week 7
Databases and Open Office Base

Getting Started with Base (from LibreOffice Getting Started Guide)

Readings for weeks 8-9
SAS

The Little SAS Book Electronic resource in UI library Read chapters 2-4 by the end of week 8.
Read chapters 6,8, and 10 by the end of week 9.

Readings for the end of the semester
High-performance computing

Metric prefixes
XSEDE (Extreme Science and Engineering Discovery Environment), NSF project > Blue Waters Supercomputer (NSF project)
UI Neon Cluster