(2019) Exploratory Analysis of Biological Data using R
Date: 15 - 16 May 2019
Before we can begin to apply rigorous statistical tools to research data, we often need to approach our data intuitively, and look for meaningful associations, surprising patterns, or irregularities, to formulate hypotheses. This is Exploratory Data Analysis (EDA). This workshop introduces the essential tools and strategies that are available for EDA through the free statistical workbench R. Steps covered in this workshop are broadly relevant for many areas of modern, quantitative biology such as flow cytometry, expression profile analysis, function prediction and more.
City: Toronto
Region: Ontario
Country: Canada
Prerequisites:
You will also require your own laptop computer. Minimum requirements: 1024×768 screen resolution, 1.5GHz CPU, 2GB RAM, 10GB free disk space, recent versions of Windows, Mac OS X or Linux (Most computers purchased in the past 3-4 years likely meet these requirements). If you do not have access to your own computer, please contact [email protected] for other possible options. This workshop requires participants to complete pre-workshop tasks and readings.
Learning objectives:
Participants will gain practical experience and skills to be able to: Use R and its analysis tools, read and modify code, and explore protocols that can be adapted for their own research tasks. Write R functions and analysis scripts. Plot and visualize data using the elementary built-in routines via their (sometimes bewildering) array of parameters to sophisticated, publication-ready presentations.
Capacity: 30
Event types:
- Workshops and courses
Activity log
