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Room 216:202

Curtin University

Hayman Road

Perth, WA 6102

Australia

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The goal of this workshop is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of these materials 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.

A variety of third party packages are used throughout this workshop. These are not necessarily the best, nor are they comprehensive, but they are packages we find useful, and have been chosen primarily for their usability.

This workshop is based on the Software Carpentry (SWC) lesson "R for reproducible scientific analysis" and covers:
  1. Introduction to R and RStudio
  2. Project Management With RStudio
  3. Data Structures
  4. Exploring and sub-setting your data
  5. Writing functions
  6. Introduction to the tidyverse (dplyr, tidyr, ggplot2)
    1. Dataframe maipulation with dplyr and tidyr
    2. Creating Publication-Quality Graphics with ggplot2
  7. Producing reports


For more information on SWC and what we teach and why, please see our paper "Best Practices for Scientific Computing".

Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Room 216:201, Curtin Bentley Campus. Get directions with OpenStreetMap or Google Maps.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on.

This lesson assumes you have the R, RStudio software installed on your computer.

R can be downloaded here.

RStudio is an environment for developing using R. It can be downloaded here. You will need the Desktop version for your computer.

Participants are also required to abide by Software Carpentry's Code of Conduct.

Accessibility: We are committed to making this workshop accessible to everybody. The workshop organisers have checked that:

  • The room is wheelchair / scooter accessible.

  • Accessible restrooms are available.

Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch and we will attempt to provide them.

Contact: Please email rebecca.lange@curtin.edu.au for more information.
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Date and Time

Location

Room 216:202

Curtin University

Hayman Road

Perth, WA 6102

Australia

View Map

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