Sunday

Arrival day for many coming from out of town.

Opening reception, 5 pm - 7 pm at Jo Hardin’s house

• Check your email for details.

Monday

1. Welcome (9am)
   1. Welcome to CVC/Pomona [Jo]
   2. Goals and outline for the week [Randy]
   3. Thinking with data
2. Introductions [Randy]
   1. Activity: Split up into groups of three or four and introduce yourselves.
   2. Google Doc for second part.

3. A First Case Study using Medicare Data [Danny]

   • Slides

4. Introduction to R and R Studio [Randy]

   • Less Volume, More Creativity – An R Quick Start
   • Importing CSV and Excel files into RStudio
     • Notes
     • Anscombe.csv
   • Activity: Create a plot using data that you have imported into R.

5. Project Example – Dynamic Data [Jo]

   1. slides for presentation; markdown file also available
      
   2. manuscript on arXiv
      
   3. complete example markdown files also available

6. RMarkdown [Nick]

   • Creating PDF/HTML/Word documents in RStudio
   • TISE paper by Baumer et al

   • Example: R Markdown example; R Markdown formatted (Student evaluations example from Open Intro)

   • Activity: Write and publish a description of some straightforward, data-oriented topic you’d like to present in class.
     • Include at least 1 plot (even if unrelated) to make sure you know how to do that.
       
     • Use the mosaic plain html template as a starting point

7. How to organize your data [Danny]

   1. Introduction slides, but the basics are
   • Rectangular format: cases (rows) and variables (columns)
   • Separate your analysis from data storage.
   • Use a codebook to describe your cases and variables in detail.
   2. Activity: The spreadsheet here contains data on the Minneapolis 2013 election by ward and precinct. Identify the elements of this spreadsheet that are not in standard rectangular data format.

Tuesday

1. Project check-in: sharing ideas and one-on-ones

2. The graphics-data interface
   1. graphing concepts: slides [Danny]
   2. Activity: data <-> graphs [Danny] PDF with the graphs

3. Introduction to ggplot2 – turning the concepts into pictures with the grammar of graphics [Randy]

   1. slides
   2. Dope Sheets

4. R parts of speech [Danny]. slides

5. Working with data – 5 verbs of dplyr [Jo]
   Getting your data into the right shape for graphing or analysis

   1. slides for presentation;

   2. Worksheet for presentation; markdown file also available (and on the Calvin server)

   3. Sample solution Rmd and Sample solution html

Wednesday

1. More data wrangling with dplyr and tidyr

2. Quick Shiny interlude Example 1; Shiny resources [Nick]

3. Ingesting your own data and next steps for your project

4. Quick demo of github.

5. Optional Tutorials

   1. Shiny [Danny]
   2. More ggplot2 [Randy]

6. 4 pm: Seminar with Hilary Parker (from Stitch Fix and Not So Standard Deviations )

Thursday

1. Opening (quick) interludes

   1. Brief status reports
   2. Using dplyr with an SQL data base
   • SQL in R pdf
   • SQL in R Rmd
   3. Making data available to others (esp. students) via the web. Notes
   4. Writing functions in R
   • Tom, Dick, and Harry [html, Rmd]
   • How to Write Functions [html, Rmd]

2. Working on projects

3. Optional Tutorials

   1. Github [Randy] @ 11 am
   • an great interactive tutorial on how git works (commits, branches, merges, etc.)
   2. Maps with Leaflet [Danny] @ 1pm Examples of widgets and details on leaflet
   3. Linear Modeling [Nick] @ 2:30 pm
   • Modeling.Rmd
   • Modeling.pdf

4. Dinner at Buca di Beppo at 6:00pm

Friday

1. Please fill out the Project Report Form

2. Live Project Reports (in parallel)

3. Closing thoughts and goodbyes (finish at 3:00pm)

Things we did this week

• PlantPhys2016
• a first shiny app
• solar panel deployment
• solar panel deployment (2) I will put the .rmd on github next week at:
• coming soon
• factor management

Additional Topics TBD

In the second half of the workshop, we will offer optional tutorials on topics of interest to several workshop participants. Here are some potential topics, but don’t be afraid to suggest others. If there is a name listed by a topic, talk to that person to find out more.

1. Github [Randy]
2. Shiny [Danny, Nick, or Jo] — Notes
3. Leaflets, etc. [Danny]
4. Maps [Danny]
5. Machine learning [Danny]
6. Text mining [Nick]
7. Modeling in R [Nick]
8. Writing Functions [Randy]
9. More ggplot2 [Randy]
10. ggvis [Nick or Randy]
11. Data Scraping from the Web
12. Getting data from a database
13. Image Analysis
14. Resampling [Nick]
15. Basic Statistical Methods
16. Linear models with “Less Volume, More Creativity” [Nick or Jo]
17. Other topics as the arise

Thanks

• Kudos to Kathy Sheldon for her assistance with logistics
• HHMI support