1  Aug 14  Course Introduction  Precourse survey, Rescheduling Preference, Rescheduling Doodle Poll  1. Download RStudio
2. Download R
3. Live Coding Day 1 (DHS plotting exercise) 
2  Aug 22 (Tues)  Tidyverse I  Introduction to R, Working with the RStudio IDE Part 1, Importing Data Into R  1. Intro to RStudio Slides
2. Basic R Slides
3. Data Input & Output Slides
4. Live Coding Day 2 (packages, data input/output, if/else, pattern finding)
5. Recorded lectures posted on ELC 
3  Aug 28
(ending at 4pm)  Tidyverse II  Cleaning Data in R, Reporting with R Markdown  1. Live Code (updated as Steve saves it)
2. Complete version of in class excercises 
4  Sep 14 (Thurs)  Tidyverse III  Data Manipulation in R with dplyr  1. Course Pace Feedback Survey #1
2. Live Code (updated as Steve saves it) 
5  Sep 18  Data Visualization  Data Visualization with ggplot2 (Part 1)  1. Binomial simulation in R
2. Simulating smoking & lung cancer data

6  Sep 25  Algorithmic Thinking I  Intermediate R  1. Simulating smoking & lung cancer data II: Prevalence ratios, functions, and nonparametric resampling inference
2. Live updated version of above code 
7  Oct 2  Power calculations; Introduction of Final Project  Writing Functions in R  1. Course Pace Feedback Survey #2
2. Code for today
3. Live updated version of above code 
8  Oct 9  Simulating random normal samples and confidence intervals: Part I  Data Visualization with ggplot2 (Part 2)  1. Confidence Intervals
2. Live edited version of above code
3. Complete version of the above code 
9  Oct 12 (Thurs)  Simulating random normal samples and confidence intervals: Part II  Data Visualization with ggplot2 (Part 3): Only Chapters 1 and 3  See links to code from Oct 9 (we edited the live edited version in class such that it's now similar to the complete code) 
10  Oct 16  Simulating the linear model I  Intermediate R (Practice)  1. Linear model I 
11  Oct 23  Simulating the linear model II  Work on project.  1. Linear Model II 
12  Nov 2 (Thurs)  Simulating the logistic regression model.  Work on project.  1. Logistic Regression I 
13  Nov 6  Simulating the logistic regression model.  Work on project.  1. Logistic Regression II

14  Nov 9 (Thurs)  TBD  Work on project.  1. Confounding I 
15  Nov 13  TBD  Work on project.  1. Confounding II 