Trainings

The unit provides standard elementary and advanced statistical courses for IRRI scientists, researchers, scholars and trainees. It has a growing reputation for providing excellent specialized courses and workshops on statistics, as evidenced by the increasing number of requests it receives for overseas courses, workshops, and symposiums. The unit advice graduate students (masters and doctoral levels) on applied statistics and statistical genetics at several universities around the world.

Basic Experimental Design and Data Analysis

The course is designed to acquaint researchers with the principles of experimental design, basic experimental designs used in crop research, analysis of variance and regression and correlation analysis. It also introduces Statistical Tool for Agricultural Research (STAR), a user-friendly software that uses GUI created in Java and functions developed in R to assist crop scientists in the design and analysis of data. The course is intended for researchers in the Agricultural and Biological Sciences. It employs a combination of lecture, group exercises, and hands-on exercises using STAR.

Design and Analysis of Breeding Trials

The course is designed to acquaint plant breeders with the different experimental designs used in breeding trials, analysis of data from single and multi-environment trials. It also introduces Plant Breeding Tools (PBTools), a user-friendly software that uses GUI created in Java and functions developed in the R environment to assist plant breeders in the design and analysis of data. It employs a combination of lecture and hands-on exercises using PBTools.

Introduction to R

The 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. The course will focus on giving participants an overview of the basic concepts of R programming. 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 lecture and hands-on practical exercises.

Introduction to Multivariate Analysis

This course is designed to introduce the participants to some of the statistical tools used in the analysis of multivariate data. A brief description of each technique will be presented. The Statistical Tool for Agricultural Research (STAR), a user-friendly software that uses GUI created in Java functions developed in R will be used in the analyses. The course is intended for researchers in the Agricultural, Biological and Social Sciences. It employs a combination of lecture, demonstration of sample problems and hands-on exercises using STAR.