2017-09 Fall Amherst College Advanced Data Analysis
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docs
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README.md
STAT495.Rproj
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index.Rmd
quickstart.Rmd
shiny.Rmd
syllabus.Rmd

README.md

STAT495

Homepage source code for 2017-09 Fall Amherst College Advanced Data Analysis https://rudeboybert.github.io/STAT495/. Most of the content is in either:

  • index.Rmd: a single Moodle-style page that lists all announcements, lectures notes, and problem sets/homeworks in chronological order.
  • syllabus.Rmd

How to build this webpage

This webpage is built/compiled using R Markdown websites. To compile this webpage for yourself, do the following:

  1. Get the contents of this directory/repository:
    • If you are not familiar with GitHub, click the green "Clone or download" button on the top-right -> Download ZIP -> Unzip STAT495-master.zip.
    • If you are familiar with GitHub, clone this repository.
  2. Double-click the STAT495.Rproj to open RStudio.
  3. If you haven't already, install the R Markdown package by typing install.packages("rmarkdown") in the console.
  4. Go to the "Build" pane of RStudio -> More -> Configure Build Tools... -> Ensure that "Project build tools" is set to "Webpage".
  5. Click "Build Website". You may need to install some additional R pacakges listed at the top of index.Rmd.
  6. The website will display in the Viewer pane. The resulting index.html file and all other files for the webpage will be saved in the docs/ folder.

How to publish this webpage

To publish/deploy this webpage and make it viewable on the web, you need to either:

  1. Copy the contents of the docs/ folder to your personal webpage or whatever domain hosting service you use.
  2. Use GitHub pages as I do. RStudio's R Markdown Websites page gives instructions on how.