This week, Ellis Hughes and I discuss how you can add controls to your RMarkdown by setting the parameters arguments within the YAML.

If you have a custom report that you need to reproduce frequently, changing different groups or pieces of information, parameterized reports are a great way to save time and ensure reproducibility.

For example, say you work for an NBA team and the head coach wants to see a team report on the Miami Heat, Dallas Mavericks, and Phoenix Suns. Rather than changing the contents within the RMarkdown itself (copying and pasting the new team name, seasons, weeks of year, etc.), which opens you up to making errors, you can set specific parameters that you want to exert control over within the YAML. Once you Knit the document with those parameters you can make the changes you need (IE, select the team, season, and weeks of the year) and the report will be produced with the desired info.

To watch our screen cast, CLICK HERE.

To access our code, CLICK HERE.

This week, Ellis Hughes and I discuss the importance of the YAML in RMarkdown for controlling the layout of your report. We then show how you can use {knitr} to generate RMarkdown files in various formats. We cover the three most common formats: html, PDF, and a Word document.

To watch our screen cast, CLICK HERE.

To access our code, CLICK HERE.

A problem that we often run into when building reports is that the amount of data can make the report itself rather long. RMarkdown can assist us in streamlining the data sharing process by creating an clickable Table of Contents at the top of the report and by adding tabs within the report that are designated to specific data or research questions. Therefore, this week, Ellis Hughes and I discuss how you can create multiple tabs within your RMarkdown report.

To watch our screen cast, CLICK HERE.

To access our code, CLICK HERE.

Picking up where we left off last week, Ellis Hughes and I dive into controlling code chunks and figure options within your RMarkdown reports.

We cover:

1) How to show or hide your code in the report
2) How to show or hide the output of your code in a report
3) How to show code without having R run it in the report
4) Setting figure height, width, and alignment
5) Setting a figure caption

The first RMarkdown file covers the basics <CLICK HERE>

The second RMarkdown walks through a more nuanced example, where we scrape data from basketball-reference.com and create a {ggplot2} plot of Team Offensive and Defensive Rebounds <CLICK HERE>

To watch the screen cast, CLICK HERE.

This week, Ellis Hughes and I begin a new series on RMarkdown. We will be going over the functionality of RMarkdown files and how you can quickly and easily build reports.

This first episode covers some of the basics of RMarkdown files:

• Formatting text
• Creating headers
• Creating bulleted or numbered lists
• Running code
• Writing statistical equations
• Adding links, image files, and figures into the report

To watch our screen cast, CLICK HERE.

To access our code, CLICK HERE.