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
This webpage is built/compiled using R Markdown websites. To compile this webpage for yourself, do the following:
- 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.
- If you are not familiar with GitHub, click the green "Clone or download" button on the top-right -> Download ZIP -> Unzip
- Double-click the
STAT495.Rproj
to open RStudio. - If you haven't already, install the R Markdown package by typing
install.packages("rmarkdown")
in the console. - Go to the "Build" pane of RStudio -> More -> Configure Build Tools... -> Ensure that "Project build tools" is set to "Webpage".
- Click "Build Website". You may need to install some additional R pacakges listed at the top of
index.Rmd
. - The website will display in the Viewer pane. The resulting
index.html
file and all other files for the webpage will be saved in thedocs/
folder.
To publish/deploy this webpage and make it viewable on the web, you need to either:
- Copy the contents of the
docs/
folder to your personal webpage or whatever domain hosting service you use. - Use GitHub pages as I do. RStudio's R Markdown Websites page gives instructions on how.