SR550 - Better Graphics with R

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 will demonstrate several methods to customize graphics in R with personalized colors, labels, fonts, axes, legends and layouts.

This Bioinformatics course is presented by the NIAID OCICB Bioinformatics and Computational Biosciences Branch (BCBB). For questions about the course or for collaboration on Bioinformatics problems, email BCBB at ScienceApps@niaid.nih.gov.

Objectives:

Students will learn:
  • Review of some R basics
    • Installing packages and source scripts
    • Importing and exporting data
  • Simple graphics and customizations
    • Pie charts with custom colors and labels
    • Overlapping histograms in transparent colors
  • Multi-step graphics and customizations with figure legends
    • Bar charts with stacked or interleaved bars
    • Scatter plots with multiple colors, symbols and regression lines
  • Multi-panel layouts and output formats
    • Using the par() command for layouts
    • Choosing an image format

Reasonable Accommodations

Individuals who need reasonable accommodation to participate in CIT Training courses should let CIT Training know at least 5 days prior to the class. For interpreting services, please request them from the ORS Interpreting Services by completing the form at Interpreting Services Form or calling (301) 402-8180 or TTY (301) 435-1908 at least 5 days before the start of the class.

Who should attend:

NIH staff with an interest in customized graphics in R should attend. The course will assume users are familiar with the basic features of R, but new users should be able to follow along.

Instructor(s):

Jeff Skinner, NIAID

Time Required:

2 Hours

Sections Available:

Add to CartDateTimeLocationSeats AvailableTuition
November 171:00 PM - 3:00 PMBuilding 12A - Room B51350



NOTE: Since there are no open sessions; we can waitlist you and contact you when a section opens up.