Description:

This seminar provides a comprehensive introduction to R programming for data analysis, tailored to social scientists, epidemiologists, and researchers across various fields. Participants will learn essential skills in data manipulation, visualization, and statistical analysis, enabling them to improve their research methodologies by effectively using R.

Start: Thursday, 16 January 2025 @ 04:00

End: Friday, 17 January 2025 @ 10:00

Timezone: Sydney

Learning Objectives:

Topics Covered
Installing R and RStudio , Workspace setup , Understanding the interface , Creating and managing projects , Using help and documentation , Quarto , Variables and assignments , Vectors and lists , Data frames , Factors , Characters , Reading CSV files , Handling different data formats , Managing file paths , Filtering and selecting data , Summarizing data , Grouping operations , Mutate and arrange , Piping with |> operator , Understanding ggplot syntax , Building basic plots , Customizing aesthetics , Faceting for multiple plots , Saving your visualizations , Understanding R functions , Writing custom functions , Improving code efficiency

Eligibility:
  • Open to all

Organiser: Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine

Contact: info@instats.org

Host institution: Instats

Cost Basis: Free to all

Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine https://dresa.org.au/events/introduction-to-r-for-data-analysis-with-rebecca-barter-division-of-epidemiology-university-of-utah-school-of-medicine This seminar provides a comprehensive introduction to R programming for data analysis, tailored to social scientists, epidemiologists, and researchers across various fields. Participants will learn essential skills in data manipulation, visualization, and statistical analysis, enabling them to improve their research methodologies by effectively using R. 2025-01-16 04:00:00 UTC 2025-01-17 10:00:00 UTC Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine Instats info@instats.org [] [] [] open_to_all []