Introduction to R for Reproducible Research with QCIF
https://instats.org/seminar/introduction-to-r-for-reproducible-resea?utm_source=dresa
Description:
This two-day seminar will provide a structured introduction to R for reproducible research and data analysis. You will learn best practices in project management, data wrangling, visualisation, and reproducible reporting, key skills for handling research data efficiently and transparently.
Start: Wednesday, 12 March 2025 @ 10:00
End: Thursday, 13 March 2025 @ 14:00
Timezone: Sydney
Learning Objectives:
Topics Covered
R Interface Overview , Installing Packages , RStudio Essentials , Basic Syntax and Commands , RStudio Project , Directory structure , Data types , Data structures , Data frames , Vectors , Lists , Subsetting data , Grammar of graphics , ggplot2 , Creating visualisations , Customising visualisations , Exporting visualisations , Functions , Loops , Conditional statements , Reading files , Column names , Missing values , Saving cleaned datasets , tidyverse , dpylr , Selecting , Filtering , Creating new variables , Summarising data , R Markdown , Rendering reports , Structuring a full research project in R , Data storage , Versioning , Collaboration , Exporting datasets
- Open to all
Organiser: QCIF
Contact: info@instats.org
Host institution: Instats
