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R for Reproducible Scientific Analysis

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The Jackson Laboratory for Genomic Medicine

10 Discovery Drive

Training Rooms 2440 & 2445

Farmington, CT 06032

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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.

A variety of third party packages are used throughout this workshop. These are not necessarily the best, nor are they comprehensive, but they are packages we find useful, and have been chosen primarily for their usability.

This workshop is open to the community and is free of charge.

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Date and Time

Location

The Jackson Laboratory for Genomic Medicine

10 Discovery Drive

Training Rooms 2440 & 2445

Farmington, CT 06032

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