Event Phone: 1-610-715-0115

Cancellation Policy: If you cancel your registration at least two weeks before the course is scheduled to begin, you are entitled to a full refund (minus a processing fee of $50).

In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.

A 4-Day Livestream Seminar Taught by Aaron Gullickson, Ph.D.

Reproducible reports provide a means to combine the code that produces a data analysis with the actual document that reports on that analysis. For most researchers, the work of doing analysis and writing up a report or paper about that analysis are distinct parts of our workflow. This traditional approach has significant drawbacks due to the added labor of moving tables, figures, and numbers between media, the potential errors involved in transcription, and an overall lack of transparency. Reproducible reports eliminate this division in workflow and allow researchers to focus simultaneously on both the analysis and its interpretation by weaving together narrative and code in a single dynamic document.

One of the most popular reproducible reports is R Markdown, which can be used to combine narrative and code to write academic papers, professional-quality reports, lab notebooks, web pages, blogs, presentations, and more. Using the simple and lightweight markdown system, R Markdown is easy to learn and use.

R Markdown works natively with R, but can also be used with Python. This course will familiarize you with how R Markdown works and the principles behind its design. The primary focus will be on producing research documents such as papers and reports using R Markdown, but various output formats will also be introduced.

The course will introduce you to the R Markdown system and how you can use it to make fantastic-looking final products for your data analysis. You will learn the basic syntax of R Markdown and how to create code chunks to insert executable code into your document. You will also learn how the basic structure of R Markdown works to produce documents of various types. You will leave the course with an understanding of how to integrate tables, figures, and citations into a document to produce a professional-looking report or paper, as well as additional knowledge of how to apply the R Markdown approach to other output formats such as presentations, posters, and web content.

The seminar will be very hands on. If you have a project that you would like to develop using R Markdown, you are more than welcome to bring that to class with you.