Assignments MAT 4010

Jan 11:

• Sign-up for free accounts on GitHub and Rpubs.

• When you register for a free individual GitHub account, request a student discount to obtain a few private repositories as well as unlimited public repositories. Please use something similar to first_name_last_name as your username when you register with GitHub. For example, my username on GitHub is alanarnholt. If you have a popular name such as John Smith, you may need to provide some other distinquishing characteristic in your username. Please use the same username for your account on Rpubs.

• Once you have a GitHub account, send an email to arnholtat@appstate.edu with a Subject line of MAT4010 - GitHub Username, and tell me in the body of your email your first name, last name, and your GitHub username. I will then manually add you as a team member to the repository in the STAT-ATA-ASU organization that has your name (Last_name-First_name). This repository will be where you store all of your work for this course. I will also change your repository to a private repository.

Watch the following Videos:

• Phillip Guo’s Unix-like command line tutorials (Four tutorials about 10 minutes each)
• Phillip Guo’s Basic Git and Github tutorials (Three tutorials about 10 minutes each)

• Clone a GitHub Repo with RStudio (Video) (5:05)

• Become familiar with the Appstate RStudio server. You will use your Appstate user name and password to log in to the server. You must be registered in the class to access the server.

• Follow the directions from Jenny Bryan’s STAT 545 to Introduce yourself to Git, Make sure you can communicate with GitHub, Test drive RStudio and GitHub, and Cache your GitHub credentials.

• Watch this video which provides some background on asking questions. This stackoverflow thread details how to create a minimal R reproducible example. Please read How To Ask Questions The Smart Way by Eric Raymond and Rick Moen and heed their advice.

• Read pages 1-37 (Chapters one and two) of Hands-On Programming with R. Create an Rscripts folder inside your private repository and store all code in the Rscripts folder for Project 1.

Jan 18: No Class

Jan 25:

• Go over cloning as needed
• Writing R functions
• Create an R package - polish documentation during the week
• Read chapters three and four in Hands-On Programming with R
• Read chapters one through four of R Packages

Feb 1:

• Go over RMarkdown documents for chapters 1-2 and 3-4
• Go over Package Building
• Add shuffle to your personal package
• Try out each others packages (devtools::install_github())
• Discuss chapters one through four of R Packages
• Read chapters five and six in Hands-On Programming with R
• Read chapters five and six of R Packages

Feb 8:

• Read and summarize chapters five and six of Hands-On Programming with R in an Rmarkdown document.
• Read chapters five and six of R Packages

Feb 15:

• Discuss chapters five and six of Hands-On Programming with R
• Discuss chapters five and six of R Packages
• Read and summarize chapter seven of Hands-On Programming with R in an Rmarkdown document.
• Read chapter 7 (Testing) of R Packages
• Unit Testing Slides

Feb 22:

• Discuss chapters six and seven of Hands-On Programming with R
• Put all chapter summaries into one single rmarkdown document.
  
• Discuss Unit Testing

Feb 29:

• Documenting S3 Classes, Generics, and Methods
• Make sure Travis-CI is passing
• Work on Group packages - (Individual assignments to follow)
• Push individual notes from chapters 1-7 (one document) to your private repositories before leaving on Spring Break.

Mar 7 - Mar 11 No Class - Spring Break

Mar 14:

• SHA for individual notes
• Go over adding data to packages - see abbreviated notes or R Packages for more detail.
• Work on Group packages

Mar 21:

• Creating data frames from contingency tables
• Work on Group packages
• Tidy Data Article

Mar 28: No Class

Apr 4:

• Discuss and walk through making pull requests. This is a work in progress
• Read Chapter 13 of R Packages
• Using pull requests
• Work on group packages
• Discuss bookdown package. For bookdown documentation see https://bookdown.org/yihui/bookdown/. To install the development version of bookdown type the code below at the R prompt.

devtools::install_github('rstudio/bookdown')

Apr 11:

Apr 18:

Apr 25:

May 2:

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