Lecture-11: Correlations (Part 2)
Topics
- Data Visualization: Creating Scatterplots
- Data Analysis: Pearson’s \(r\) in
R; Power Analyses for Correlations - Quantitative Research: LaTeX Equations
Readings
Required
- Yihui Xie, J. J. Allaire, and Garrett Grolemund. 2018. “Math expressions.” In R Markdown: The Definitive Guide. New York, NY: CRC Press. (Link)
Assignments
Due Before Class
- From Prior Lecture: Lab 09 - Pearson’s \(r\) by Hand
- From Final Project: Draft materials due in each student’s final project repository
- For This Lecture: Lecture Prep 10 - Creating Scatterplots with
ggplot2
Due Before Next Class
- For This Lecture:
- Lab 10 - Pearson’s \(r\) in
R - Problem Set 05 - Correlations and Scatterplots
- Lab 10 - Pearson’s \(r\) in
- For Next Lecture: Lecture Prep 11 - The Regression Equation in LaTeX