Principal speaker
TO BE ADVISED
Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on 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: See Campus Maps here
When: 10th Feb to 11th Feb. Add to your Google Calendar.
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. They should have a few specific software packages installed (listed below).
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers 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 (using contact details below) and we will attempt to provide them.
Contact: Please email hackyhour@griffith.edu.au for more information.
Surveys
Please be sure to complete these surveys before and after the workshop.
Schedule
Day 1
BeforePre-workshop survey09:00Introduction to R - Lessons 1-410:30Morning break12:00Lunch break13:00Introduction to R - Lessons 5-814:30Afternoon break16:00Wrap-up16:30ENDDay 2
09:00Introduction to R - Lessons 9-1210:30Morning break12:00Lunch break13:00Introduction to R - Lessons 13-1614:30Afternoon break16:00Wrap-up16:30Post-workshop Survey16:40ENDLesson Details: R
Lessons online : http://swcarpentry.github.io/r-novice-gapminder/
Data to download: https://raw.githubusercontent.com/resbaz/r-novice-gapminder-files/master/data/gapminder-FiveYearData.csv
We are going to download this directly into RStudio if possible however if you need to download to your computer, use the following...
Please unzip after downloading. If you are in Mac or Linux, you can use the following commands:
Windows: you can download it and move it to the folder you plan on working in, then unzip it by right clicking
Syllabus
Programming in R
Working with vectors and data frames
Reading and plotting data
Creating and using functions
Loops and conditionals
Using R from the command line
-->
Setup
To participate in a Software Carpentry workshop, you will need access to the software described below. In addition, you will need an up-to-date web browser.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
R
R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.
Copyright © 2016-2020 Software Carpentry