|
Some class resources are on Blackboard
Homework 8 due 8am Nov 15
Homework 7 due 8am Nov 8 and solutions
Homework 6 due 8am Nov 1
About Final Project
Homework 5 due 8am Oct 11 and solutions and here's the Rmd file -- more advanced students might want to learn R Markdown
Homework 4 due 8am Oct 4 and solutions
Powerpoint about k-nn estimators (with voice narration)
Powerpoint about beginning stats (with voice narration - I'm embarrassed since I recorded this before class started but never uploaded! Dumbass.)
Homework 3 due 8am Sept 27 and solutions
Homework 2 due next week 8am Sept 13
Homework 1 due next week Sept 5 (well, written part by midnight somewhere on the globe so I'll accept uploads on Blackboard until 8am in NYC the next day)
Class Lecture Notes up to p 50 should be review and of course this is a draft, might change as we go along particularly parts after p 150 or so
I've got several datasets in R format for you
The zip file includes the data as well as some details about how I created it. To begin you will likely only need the RData file.
R Basics for Lecture 1 requires that you download PUMS data above
Video 1 on basics for R - these go along with the R Basics for Lecture 1 page above; then Video 2
A bit more advanced material in R,
the markdown file for R Basics,
the markdown file for advanced material,
Preliminaries: refresh your basic stats knowledge for Diagnostic Test early, start to learn R
Syllabus
specific skills to be learned in this course
Grading Policy
High-Risk
Grade Option due by Sept 26 if you want the risky option
My expectations of you and your expectations for me
A Refresher on Basic Skills. Most of it should be too basic but it
needs to be communicated.
|
Tweets
|