Data Fluency: Reproducible research in R

This workshop is an introduction to writing and communicating research using Rmarkdown. Rmarkdown is an easy way to create documents that include your R code and its output such figure and tables. Rmarkdown is a single documents that can be "knitted" and shared as various document types such as PDF and HTML. Rmarkdown supports scientific writing such as use of citations and figure cross-referencing. Rmarkdown can also be used to create presentations that include your R code and its output. We will also cover bookdown, which is an extension to Rmarkdown that allows creation of larger documents such as books with multiple chapters.

In this workshop we will also cover git version control tool that can help with organising and "checkpointing" Rmarkdown documents, associated R code and data. Git is not a back up system, but it does allow one to retrieve older versions of your work. Git together with remote repositories like GitHub can provide centralised location for your research. All together Rmarkdown, git and github can enable reproducible research that is visible and accessible by greater public including supervisors and management.

Who: This is an introductory level workshop, however some prior exposure to R and familiarity with Rstudio is assumed.

What you'll need: A computer with speakers and a microphone (note: webcams and dual monitors are recommended but not required). A web browser and Zoom are the only required software. A Zoom link and instructions will be sent to registrants 3 days prior to the workshop. Instructions for accessing necessary software and data sets will be sent out by facilitators.

Note: This registration page is only open to Monash external affiliate partners, MASSIVE partners and users, Monash ARDC project partners and users.

Monash staff and Graduate Research students please register through MyDevelopment.



Data Fluency: Reproducible research in R


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