RMarkdown and RNotebooks

ResCon_R

Online

RMarkdown and RNotebooks

We are going to be exploring how to use R-markdown and R-Notebooks.

Have you been wondering what these tools are? Have you heard about them, but don’t know where to start? This workshop will introduce you to the basics and some tricks and tips to make amazing documents containing all your data-analysis and much more! After a brief introduction on the tool and how to use it, we will have some hands-on experience with R-Markdown.

By the end of the workshop you will have created R-markdown and R-notebooks, so don’t forget to have R and Rstudio installed ready to go!

With R-Markdown you can create documents that contain all your code as well as all the results from that code, thus making your data analysis entirely reproducible. However, R-markdown can do much more than that. It is a tool that helps you during data analysis. It allows you to create a script with all your data analysis pipeline that you can play with as you try different statistical or visualisation methods. The great advantage, as opposed to standard R-scripts, it is that you can add text between your code to create amazing documents that you can personalise with just a few clicks. Participants will have hands-on experience on how to use these tools.

Please note that the training is aimed at people who have attended the R introductory workshops or have some basic R knowledge.

Learning Objectives:

  • I can create an R-Markdown document.
  • I know how to compile my document into a pdf, html or word document.
  • I know how to run chunks of code.
  • I know how to write text in an R-Markdown document.
  • I know how to navigate the cheatsheet.

Presenter

Pablo Franco is a PhD candidate at the Faculty of Business and Economics at the University of Melbourne. He studies how people make decisions that involve solving complex problems (for instance, choosing insurance or even choosing what to buy at the supermarket). He does this by integrating insights from neuroscience, psychology, economics and computer science. He uses several programming languages for his data analysis, including R and python, but he is, first and foremost, an R enthusiast and promoter.

May 12, 2021 09:00 AM Canberra, Melbourne, Sydney

Register in advance for this meeting:
https://unimelb.zoom.us/meeting/register/tZEpdOqqpjsvEt22P_BG-nA9X1J0tqAuab-7

**Repeat session:

Jun 4, 2021 09:00 AM Canberra, Melbourne, Sydney

Register in advance for this meeting:
https://unimelb.zoom.us/meeting/register/tZ0kc-Gsqz0sHdWqejRhO7_8UAMQhCWnz3fh

After registering, you will receive a confirmation email containing information about joining the meeting.

Contact us at researcher-connect@unimelb.edu.au if you have any questions.

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