Reproducible Research Workshop Series
$0 – $50
Reproducible Research Workshop Series

Reproducible Research Workshop Series

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Life Sciences Institute - Room LSC3

2350 Health Sciences Mall

Vancouver, BC V6T 1Z3

Canada

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About the Workshop Series

In this workshop series, we introduce computational reproducibility and its importance to modern research. We will teach the general principles for reproducible computer-based analyses, along with specific methods and tools for reproducibility with R. We will also introduce version control which is an essential tool in a team environment.

You will learn:

  • how to construct reproducible, automatable computer workflows for data analysis,
  • to make document production a part of your reproducible workflow,
  • how to create documents using the knitr package that include their underlying computations and produce outputs of different types, such as reports, presentation slides, handouts, and notes,
  • to use the Git version system in both personal and group projects, give you tips to get the most out of Git, and
  • introduce you to Github – an online platform that provides a rich set of additional features.

Workshop 1: Monday, March 20th, 12:00 pm - 2:00pm
Workshop 2: Wednesday, March 22nd, 2:00pm - 4:00pm
Workshop 3: Friday, March 24th, 2:00pm - 4:00pm

Pre-Requisites

Introduction to R” and “Working with Data” workshop series or equivalent knowledge of R.

Registration

You can register to the workshop series ($36 plus fees). The fee includes 3 sessions, and 6 hours of instruction. Free for ECOSCOPE trainees (to rsvp contact info.ecoscope@ubc.ca). No refunds.

Workshop Resources

Set up (TBA)

Notes & Exercises (TBA)

Related workshops

Introduction to R Workshop Series - September 2016

Working with Data Workshop Series - October 2016

Graphics with Ggplot Workshop Series - November 2016

Introduction to R Workshop Series - January 2017

Statistical Models Workshop Series - February 2017

Intermediate R Programming Workshop Series - April 2017

About the Instructors

Davor Cubranic is a scientific programmer in the Department of Statistics and a member of Applied Statistics and Data Science Group (ASDa) He has been using R for six years and has authored eight R packages published on CRAN. Prior to joining UBC, Davor worked in the software industry developing tools for exploring and analyzing large datasets.

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Life Sciences Institute - Room LSC3

2350 Health Sciences Mall

Vancouver, BC V6T 1Z3

Canada

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