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Statistics and Statistical Programming (Winter 2017)
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=== Week 1: Tuesday January 3: Introduction, Setup, and Data and Variables === Hopefully, the material in OpenIntro feels very familiar from COM520. The programming material will be new but I want you to read it before you come to class so we can work through the examples a group. '''Required Readings:''' * Diez, Barr, and Çetinkaya-Rundel: §1 (Introduction to data) * Verzani: §1 (Getting Started), §2 (Univariate data) [[https://faculty.washington.edu/makohill/com521/verzani-usingr-ch1_ch2.pdf Available with UWNetID]] * 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 UW libraries]] '''Optional Readings:''' * Verzani: §A (Programming) '''Assignment (Complete Before Class):''' * [[Statistics and Statistical Programming (Winter 2017)/Problem Set: Week 1]] '''Lectures:''' * [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 (Winter 2017)/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]]
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