https://maxturgeon.ca/f21-data2010/Recent content on DATA 2010 - Fall 2021Hugo -- gohugo.ioen-cahttps://maxturgeon.ca/f21-data2010/practice/Mon, 01 Jan 0001 00:00:00 +0000https://maxturgeon.ca/f21-data2010/practice/Here is a list of practice problems. The problem numbers refer to the 6thedition of Applied Multivariate Statistical Analysis by Johnson & Wichern. A copy has been put on course reserve through the Science Library. Chapter 3–Sample Geometry and Random Sampling # 3.8, 3.9, 3.10, 3.14, 3.15, 3.17 Chapter 4–The Multivariate Normal Distribution # 4.3, 4.4, 4.4, 4.5, 4.6, 4.7, 4.8, 4.16, 4.18, 4.19, 4.21, 4.22 Chapter 5–Inferences about a Mean Vector # 5.https://maxturgeon.ca/f21-data2010/slides/Mon, 01 Jan 0001 00:00:00 +0000https://maxturgeon.ca/f21-data2010/slides/Slides # If you are registered for the course, you can find the material on UM Learn. Course Overview Mathematical Preliminaries Simpson’s Paradox Summary Statistics R code Introduction to the Tidyverse R code Tidy data R code Joining data R code Correlation R code Distribution and Significance R code Data Visualization R code Principles of Data Visualization R code Scores & Rankings R code PageRank Algorithm R code Building Models R code Validating Models R code Introduction to Linear Regression R code Regularized Regression R code Logistic Regression R code Nearest Neighbours Decision Trees Random Forests Clustering R codehttps://maxturgeon.ca/f21-data2010/suppl/Mon, 01 Jan 0001 00:00:00 +0000https://maxturgeon.ca/f21-data2010/suppl/Supplementary Material # On this page, I will post additional resources and supplementary material for the course. Resources for R # In this course, we will use R extensively. Below are some resources: R for Data Science by Grolemund and Wickham. Hands-On Programming with R by Grolemund. Jenny Bryan’s course on Data wrangling, exploration, and analysis with R In particular, I recommend the notes on The Many Flavours of R objects Mine Cetinkaya’s curated list of resources for R If you’re looking for a deep understanding of R, I recommend Hadley Wickham’s book Advanced R RStudio has several great cheatsheets on their website.