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Statistical Analysis Using R

Training in Statistical Analysis Using R

July 8 - 10, 2020


National Institutes of Health(ONLINE)

9000 Rockville Pike

Building 60, Room 162

Bethesda, MD 20892, USA


Data is everywhere. Every biologist has some kind of data. Data can be modeled, managed, transformed, analyzed, mined, explored and visualized using several different methods and tools. But, statistical methods are the most popular way to analyze data. And, R is the popular platform to perform statistical analysis.

Simultaneous access to two screens is highly recommended for adequate learning experience. Examples include two laptops, one computer with two screens, one laptop and one tablet, etc.


This Hands-on training will help participants to learn to perform basic statistical analysis using the R platform. First, participants will learn to use the R and RStudio software platforms. Then, with a short introduction to basic statistical concepts, participants will do hands-on exercises to perform basic statistical analysis using the R platform.


  • Cloud-based, high performance computing platform
  • Training provided by active NIH researchers
  • Cookbook style bound manual for all exercises
  • Continuing Education Credits

Hands-on Skills/Tools Taught

  1. Introduction to R, RStudio
  • a.Data Types in R
  • b.Data import
  • c.Variables
  • d.Operators
  • e.Looping
  • f.Functions
  • g.Scripts
  • h.Basic plots
  1. Statistical analysis using R
  • a.Distributions
  • b.Measures of central tendency
  • c.Measures of variability
  • d.Correlation
  • e.Regression
  • f.Statistical inference

For more information and registration, please visit the following page;
Information and Registration



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