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R for Reproducible Scientific Analysis

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The Jackson Laboratory

600 Main Street

Breezeway Bioinformatics Training Room 1540

Bar Harbor, ME 04609

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This is an introduction to R for non-programmers using gapminder data. The goal of this lesson 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.

This workshop is open to the community and is free of charge. Participants must attend in person. Remote attendance will not be supported.

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Location

The Jackson Laboratory

600 Main Street

Breezeway Bioinformatics Training Room 1540

Bar Harbor, ME 04609

View Map

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