Description:

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.

Start: Monday, 21 November 2022 @ 09:00

End: Thursday, 24 November 2022 @ 12:30

Timezone: Brisbane

Prerequisites:

A familiarity with command-line interfaces will be helpful, but is not required

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
Eligibility:
  • Open to all

Organiser: QCIF

Contact: training@qcif.edu.au

Host institution: QCIF

Event type:
  • Workshop

Cost Basis: Cost to non-members

Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-cf686717-9a12-4b7f-b5e6-7662f5b283cf 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. 2022-11-21 09:00:00 UTC 2022-11-24 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []