Introduction to R: Data Manipulation and Statistical Analysis

This course introduces the participants to the basics of the R Statistical Computing Environment under Windows. The R Statistics Computing Environment is free, open source software and consists of a set of core modules that make up the R distribution, as well as more than 500 contributed packages from various sources. R is designed around a computer language which requires users to work mainly with a command-line interface, using the R language. The course consists of lectures and hands-on practical exercises.
  • R Installation
  • Basic concepts
  • Loading data
  • Data manipulation
  • Graphics
  • Descriptive statistics
  • Generating randomization plans for different experimental designs
  • Defining models in R
  • Analysis of variance (ANOVA) and mean comparison
  • Correlation and regression analysis
To be able to attend the course, participants must have an aptitude for programming, be computer proficient and must be familiar with basic statistical methods, including hypothesis testing, analysis of variance and regression and correlation analysis or they have attended the (Basic) Experimental Designs and Data Analysis course.


International Rice Research Institute (IRRI)
Los Baños, Laguna, Philippines


Ms. Violeta Bartolome

Senior Associate Scientist - Biometrics
Biometrics and Breeding Informatics
Plant Breeding, Genetics, and Biotechnology

International Rice Research Institute
DAPO Box 7777, Metro Manila, Philippines
Fax: (63- 2) 891-1292; 580 5699
Phone: (63- 2) 845-0563; 580 5600 ext 2895