index.md

layout	root	lastupdated	contributors	maintainers	domain	topic	software	dataurl	status
lesson	.	August 14, 2016	Kate Hertweck Susan McClatchey Tracy Teal Ryan Williams	Tracy Teal	Genomics	R	R		Under Development

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Data Carpentry's aim is to teach researchers basic concepts, skills, and tools for working more effectively with data. The lessons below were designed for those interested in working with {{page.domain %}} data in {{page.topic %}}.

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Lessons:

1. Lesson 00 Before we start
2. Lesson 01 Introduction to R
3. Lesson 02 Starting with data
4. Lesson 03 Introducing data.frame
5. Lesson 04 Aggregating and analyzing data with dplyr
6. Lesson 05 Data visualisation with ggplot2

Resources

You can find the RStudio cheat sheets here, including the dplyr/tidyr, ggplot2 and R-markdown cheat sheets we used.

Requirements

Data Carpentry's teaching is hands-on, so participants are encouraged to use their own computers to insure the proper setup of tools for an efficient workflow. These lessons assume no prior knowledge of the skills or tools, but working through this lesson requires working copies of the software described below. To most effectively use these materials, please make sure to install everything before working through this lesson.

{% if page.software == "Python" %} {% include pythonSetup.html %} {% elsif page.software == "Spreadsheets" %} {% include spreadsheetSetup.html %} {% elsif page.software == "R" %} {% include rSetup.html %} {% else %} {% include anySetup.html %} {% endif %}

Twitter: @datacarpentry