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#997Introduction to R, a Hands-On Seminar
 
Description:
R is a powerful and widely used tool for statistical analyses, data visualization and analysis of high-throughput methods like microarray experiments. Researchers who require analysis tools more advanced than Microsoft Excel will appreciate the flexibility and wide range of pre-packaged solutions that R offers. This course is intended to introduce the basics of programming in R with hands-on examples and provide additional resources for extending its functionality.

This Structural Biology course is presented by the NIAID OCICB Bioinformatics and Computational Biosciences Branch (BCBB). For questions about the course or for collaboration on Structural Biology problems, email BCBB at ScienceApps@niaid.nih.gov
 
Objectives:
Students will learn:
  • Basics of using R
    • Arithmetic, inequalities and matrix algebra
    • Installing packages and source scripts
    • Importing and exporting data
    • Manipulating data
  • Graphics procedures
    • XY scatterplots
    • Histograms and boxplots
  • Statistical tests
    • Student’s t-tests
    • Linear models
  • Writing scripts
Who should attend:
NIH staff with an interest in using the statistics programming language R should attend. The course is designed with new users in mind, but even seasoned users will learn something from the course.
 
Instructor(s):
Jeff Skinner, MS, NIAID OCICB Bioinformatics and Computational Biosciences Branch (BCBB)
Sudhir Varma, Ph.D., NIAID OCICB Bioinformatics and Computational Biosciences Branch (BCBB)
 
Time Required:
2 hours
 
Sections Available:
997-09F May 12 9:00 - 11:00 Building 12A, Room B51
Course Listing

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