This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages.
This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages.
The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.
Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis.
Recommended Participants
Researchers looking for more advanced or automated data analysis capabilities than basic spreadsheets. The workshop is relevant for all disciplines.
While it is designed to be suitable for people with no previous experience with R or other programming languages, participants do need to be confident and experienced with using computers, and a familiarity with command-line interfaces will be helpful.
Learning Objectives
Upload and process data in R to generate plots, figures and tables
Create and run functions in R
Write your own R script for automated data processing
Create automated reproducible reports in R
Install and load external R packages and manage R projects
Syllabus
Topics covered will include:
The Rstudio integrated development environment
The format of the R language – variables, data structures and functions
The import, export and processing of data within R
Generating high-quality graphic presentations of data
Building dynamic reports for reproducible research
The Queensland Cyber Infrastructure Foundation (QCIF) is a non-profit organisation that provides cutting-edge digital infrastructure capabilities for research and innovation across Queensland and Australia.
QCIF draws investment from its Members, the Queensland Government, and the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS) program. We are an NCRIS node for the Australian BioCommons (Bioplatforms Australia), and the Australian Research Data Commons (ARDC) and its Nectar Research Cloud.
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