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SISBID 2016 Module 3: Reproducible Research
Keith Baggerly
July 18-20, 2016
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This module is part of the Summer Institute in Statistics for Big Data

Taught by
Keith A. Baggerly
kabagger@mdanderson.org
and
Roger Peng
rdpeng@jhu.edu

Course Goals

Homeworks

Cheat Sheets (idea stolen from Karl Broman)

These are from RStudio's list

This is from GitHub

Course Syllabus and Lecture Materials

Day 1, Jul 18, 2016

Session 1, 8:30-10

Session 2, 10:30-12

Session 3, 1:30-3

This session will be a mix of lecture and live demo.

Session 4, 3:30-5

This session will be a mix of lecture and live demo.

  • Day 1 Feedback (5 min)

Day 2, Jul 19, 2016

Session 5, 8:30-10

This session will be a mix of lecture and live demo.

Session 6, 10:30-12

This session will be a mixture of lecture and live demo.

Session 7, 1:30-3

Session 8, 3:30-5

  • More Day 2 Homework (sharing real data analyses, incorporating batch effects)
  • Day 2 Feedback (5 min)

Day 3, Jul 20, 2016

Session 9, 8:30-10

Session 10, 10:30-12

  • More Day 3 Homework
  • Final Class Discussion (30 min)

Recommended Reading/Browsing

General

Karl Broman's Tools for RR Course

Day 1

Day 2

About


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