BIOST 2094 - Statistical Computing in R

R

Spring 2011


Instructor: Nicholas Christian, MS
E-Mail:njc23@pitt.edu
Office Hours:After class and by appointment
Instructor: Abdus S. Wahed, PhD
E-Mail:wahed@pitt.edu


Course Summary
BISOT 2094 is an introduction to statistical computing using R. This course will have two components. In the first part of the course you will learn how to write efficient and transparent programs in R. In the second part of the course, you will learn about packages and functions that are used in statistical analysis as well as techniques for managing data and using graphs to visually describe data. Prerequisite: BIOST 2041, 2042.

Syllabus

Special Presentation - April 12
Running R on LINUX Workstation (remotely..)
Slides

Lecture Notes
Lecture 1: Getting Started with R
Lecture 2: Data Structures and Data Types
Lecture 3: Basic Programming
Lecture 4: Advanced Programming
Lecture 5: Basic Graphics Graphics Reference Card
Lecture 6: Advanced Graphics
Lecture 7: Numerical Methods
Lecture 8: Dataframes Example Dataset
Lecture 9: Basic Statistical Methods
Lecture 10: Linear and Generalized Linear Models
Lecture 11: Sweave and Survival Analysis sweaveExample.rnw
Lecture 12: Longitudinal Models

Homework
Homework 1
Homework 2
Homework 3
pred.xls follow.up.xls
Homework 4

Mid-Term Project
Midterm Project Description

Final Project
Final Project Description


Links
R Homepage
R Color Chart