Using R to analyse step count data: common pitfalls and how to get over them

*What are we going to learn:
Interested in analysing health data (like step count)? Not sure how to go about it using R? This talk will cover some common issues researchers and data scientists might encounter when dealing with longitudinal step count data and how R can be used to help with the analysis.

*Who is going to present:
Ly is a Digital Health Scientist and Consultant. Ly is passionate about helping people lead a healthy and happy life. Her current PhD research at University of Sydney leverages how to use AI & mobile technologies to promote healthy behaviour (like physical activity). Ly is a big fan of R and Github, and her favourite packages are ggplot2 and dplyr. Ly loves to share her love of R and learn about it with other people. While Ly is not busy with her R codes, she likes to hang out with her plant babies (all 56 of them) or doing some embroidery.

• When are we meeting?
  The talk will start at 5:00 pm for approximately 45 mins and after that we invite you to stay for a virtual catch up.

The presentation will start at 5:00 pm********

• Where are we meeting?
  We will meet virtually using Zoom, the link will be visible to people who RSVP.

• What else is needed?
  This will be an interactive ~45 min presentation. If you would like to follow along in RStudio please make sure you have installed the following before the session:

R - https://cran.r-project.org/bin/windows/base/
RStudio - https://rstudio.com/products/rstudio/download/
Required packages: " dplyr ", ggplot2" and " RMarkdown "

We look forward to seeing you there!

R-Ladies Brisbane

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