Editing User:Aaronshaw/Stats course (section)

=== Week 1: Thursday April 4: Introduction, Setup, and Data and Variables ===

Please complete the readings prior to class so that we can discuss them and start talking through some of the examples in R together.

'''Required Readings:'''

* Diez, Barr, and Çetinkaya-Rundel: §1 (Introduction to data)
* Kramer, Adam D. I., Jamie E. Guillory, and Jeffrey T. Hancock. 2014. “Experimental Evidence of Massive-Scale Emotional Contagion through Social Networks.” ''Proceedings of the National Academy of Sciences'' 111(24):8788–90. [[http://www.pnas.org/content/111/24/8788.full Available through NU libraries]]

'''Recommended Readings:'''

* Verzani: §1 (Getting Started), §2 (Univariate data) [[https://canvas.northwestern.edu/verzani_ch1-ch2.pdf Available via Canvas]]
* Verzani: §A (Programming)
* Healy: Chapter 2 (and skim the preferatory material as well as Chapter 1)
'''Assignment (Complete before class):'''

* [[Statistics and Statistical Programming (Winter 2017)/Problem Set: Week 1]]

'''R screencasts:'''
* [https://communitydata.cc/~ads/teaching/2019/stats/r_lectures/w01-introduction.zip Week 1 R lecture materials] (.zip file)
* [https://communitydata.cc/~mako/2017-COM521/com521-week_01-r_programming_intro-20170103.ogv Week 1 R lecture screencast (Part I): Introduction to R and univariate statistics] (~1 hour 47 minutes)
* [https://communitydata.cc/~mako/2017-COM521/com521-week_01-github_rscripts-20170104.ogv Week 1 R lecture screencast (Part II): Setting up git/GitHub and saving files in RStudio] (~40 minutes)
* [[Statistics and Statistical Programming (Spring 2019)/R lecture outline: Week 1]]

'''Resources:'''
* [https://www.openintro.org/download.php?file=os3_slides_01&referrer=/stat/slides/slides_0x.php Mine Çetinkaya-Rundel's OpenIntro §1 Lecture Notes]
* [https://www.openintro.org/stat/videos.php OpenIntro Video Lectures] including some for §1
* [[Statistics and Statistical Programming (Winter 2017)/Session plan: Week 1]]