Materials for class on Monday, September 30, 2019
- Problem Set 1 has been graded. See Problem Set 1 Solutions.
This plot does not include 7 submissions (grades 65, 70, 82, 95, 97, 97, 100) that did not provide time to complete.
Design contest assignment. Presentations will be in class on October 28.
Problem Set 2 is due by 11:59pm Monday, Oct 7th (during Fall Break). Please use Slack for questions.
Extra Credit Policy. For this semester, you can receive up to 5% extra credit added to your final grade.
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
gganimateproject from last week that’s on our RStudio.cloud workspace. But this time, we’ll focus on the uncertainty examples, especially on linear regression.
flexdashboardoverview / intro pdf slides For this part, we’ll use this RStudio.Cloud project on our class workspace.