Editing Statistics and Statistical Programming (Winter 2017)
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;Paper Due Date: March 19 | ;Paper Due Date: March 19 | ||
;Maximum length: 6000 words (~20 pages) | ;Maximum outline length: 6000 words (~20 pages) | ||
;Presentation Date: March | ;Presentation Date: March 7 | ||
;All Deliverables: Turn in in Canvas | ;All Deliverables: Turn in in Canvas | ||
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I have a strong preference for you to write this paper individually but I'm open to the idea that you may want to work with others in the class. | I have a strong preference for you to write this paper individually but I'm open to the idea that you may want to work with others in the class. | ||
'''''Details Forthcoming:''''' ''Although this material is still somewhat thin, I'll be posting many additional details about the expectations for the final paper as we move forward through the quarter.'' | |||
=== Grading === | === Grading === | ||
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'''Lectures:''' | '''Lectures:''' | ||
* [https://communitydata.cc/~mako | * [https://communitydata.cc/~mako/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 | * [https://communitydata.cc/~mako/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]] | * [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 1]] | ||
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* [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 2]] | * [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 2]] | ||
* [https://communitydata.cc/~mako | * [https://communitydata.cc/~mako/com521-week_02-lists_dataframes_graphing-20170111.ogv Week 2 R lecture screencast: lists, matrixes, data frames, and beginning graphing] (~1 hour 8 minutes) | ||
'''Resources:''' | '''Resources:''' | ||
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* [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 3]] | * [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 3]] | ||
* [https://communitydata.cc/~mako | * [https://communitydata.cc/~mako/com521-week_03-loading_data_functions_apply_misc.ogv Week 3 R lecture screencast: Loading data, functions; apply(), lapply(), sapply(); several miscellaneous functions] (~34 minutes) — This is the same material I covered in class. If you followed it, there's no reason you need to go back to this. | ||
* [https://communitydata.cc/~mako | * [https://communitydata.cc/~mako/com521-week_03-dates_tapply_merge.ogv Week 3 R lecture screencast: Dates; tapply(); and merge()] (~38 minutes) [The audio seems to be broken for the last 10 minutes. Sorry about that! I've rerecorded that below.] | ||
* [https://communitydata.cc/~mako | * [https://communitydata.cc/~mako/com521-week_03-merge.ogv Week 3 R lecture screencast: merge()] (~13 minutes) [Rerecording of the last few minutes of the previous video.] | ||
'''Resources:''' | '''Resources:''' | ||
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* [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 4]] | * [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 4]] | ||
* [https://communitydata.cc/~mako | * [https://communitydata.cc/~mako/com521-week_04-misc_confint_simulation-20170125.ogv Week 4 R lecture screencast: order(); confidence intervals; simulations drawn from repeated random samples] (~27 minutes) | ||
'''Resources:''' | '''Resources:''' | ||
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* [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 5]] | * [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 5]] | ||
* [https://communitydata.cc/~mako | * [https://communitydata.cc/~mako/com521-week_05-ttests_and_anova.ogv Week 5 lecture screencast: t-tests] (~22 minutes) | ||
* [https://communitydata.cc/~mako | * [https://communitydata.cc/~mako/com521-week_05-for_if.ogv Week 5 R lecture screencast: for loops and if statements] (~12 minutes) | ||
'''Resources:''' | '''Resources:''' | ||
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* [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 6]] | * [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 6]] | ||
* [https://communitydata.cc/~mako | * [https://communitydata.cc/~mako/com521-week_06-tables_chisq_debugging.ogv Week 6 R lecture screencast: Tables, <math>\chi^2</math>-tests, and debugging.] (~40 minutes) | ||
'''Resources:''' | '''Resources:''' | ||
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* [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 7]] | * [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 7]] | ||
* [https://communitydata.cc/~mako | * [https://communitydata.cc/~mako/com521-week_07-linear_regression.ogv Week 7 R lecture screencast: linear regression] (~42 minutes) | ||
'''Resources:''' | '''Resources:''' | ||
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* [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 8]] | * [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 8]] | ||
* [https://communitydata.cc/~mako | * [https://communitydata.cc/~mako/com521-week_08-more_regression_anova_redux.ogv Week 8 R lecture screencast: more on linear regression, including interactions, polynomials, log transformations; anova] (~28 minutes) | ||
'''Resources:''' | '''Resources:''' | ||
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* [https://www.openintro.org/download.php?file=os3_slides_08&referrer=/stat/slides/slides_0x.php Mine Çetinkaya-Rundel's OpenIntro §8 Lecture Notes] | * [https://www.openintro.org/download.php?file=os3_slides_08&referrer=/stat/slides/slides_0x.php Mine Çetinkaya-Rundel's OpenIntro §8 Lecture Notes] | ||
* [https://www.openintro.org/stat/videos.php OpenIntro Video Lectures] including a video on §8.4 | * [https://www.openintro.org/stat/videos.php OpenIntro Video Lectures] including a video on §8.4 | ||
=== Week 9: Tuesday February 28: Consulting Meetings === | === Week 9: Tuesday February 28: Consulting Meetings === |