Statistical Models

Materials for class on Monday, September 30, 2019

Contents

Announcements

1. Problem Set 1 has been graded. See Problem Set 1 Solutions.

2. Design contest assignment. Presentations will be in class on October 28.

3. Problem Set 2 is due by 11:59pm Monday, Oct 7th (during Fall Break). Please use Slack for questions.

4. Extra Credit Policy. For this semester, you can receive up to 5% extra credit added to your final grade.

5. Quiz 2 has been pushed back. It will be provided next Class (Oct 14) and due the following Monday, Oct 21.

Tweet of the day

Nice update on the current state of #tidymodels with Max Kuhn, author of the #caret package. https://t.co/cGXmjQcXWN #rstats See more at https://t.co/HoY49HfmI9

— Ewan Carr (@ewancarr) March 9, 2019

Lab 6: Work with models in ggplot2

• Go to our healy-dataviz project and open “06_models.Rmd” or “06_models.html” (if you want to simply see the output). This covers Chapter 6: Work with Models in Healy.

• We’ll use the same gganimate project from last week that’s on our RStudio.cloud workspace. But this time, we’ll focus on the uncertainty examples, especially on linear regression.

• flexdashboard overview / intro pdf slides For this part, we’ll use this RStudio.Cloud project on our class workspace.