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BIOM 204: Statistical Design and Analysis of Agricultural Experiments using R

This course provides researchers with the knowledge and skills to be able to design and analyze agronomic experiments using the R programming language. Through a combination of lecture, group exercises, and hands-on activities, participants will learn the designs commonly used in agricultural research, analysis of variance, and correlation and regression analysis. This course is intended for researchers in agricultural and biological sciences, and is foundational for learning more advanced statistical techniques.

Course Objectives

  • Understand when to use different experimental designs and how randomization and layouts are generated
  • Understand and learn how to perform mean comparisons and analysis of variance
  • Understand and learn how to use data transformations
  • Understand how to handle missing data
  • Understand how to study relationships between variables using correlation and linear regression

Course Content

  • Basic statistics
  • Principles of experimental design
  • Experimental designs commonly used in agricultural experiments
  • Analysis of variance and mean comparison
  • Partitioning sum of squares
  • Data transformation
  • Missing data
  • Simple correlation and linear regression analysis


  • BIOM 203: R Programming or equivalent

Course Coordinator

Ms. Alaine Gulles

About the Course

Course Schedule:  August 6 - 10, 2018

Venue: IRRI Headquarters, Los Baños, Laguna, Philippines

Application Period:  until June 8, 2018 or until slots are filled-up

How to Apply:

        Requirements and Instructions:

        Please read before proceeding to the online application.

    1. Interested applicants must have a fully accomplished online application form with all the necessary attachments on or before June 8, 2018.
    2. Applicant must have a certification of availability of funding from IRRI, donors or sponsoring agencies to cover the full cost of the training.  This should be reflected in the Endorsement form or Consent form that can be downloaded below.
    3. Slots for this training are awarded on a competitive basis and participants will be chosen based on the information provided on the online application form.


    1. Download and accomplish the consent form that you will need for your application. Please attach them to the online application form. 
      • Consent form (Save as PDF with CF_BIOM204_Your-Lastname as filename).
    2. Proceed with the online application here.


        1.  Applicants will be notified thru email if they are accepted or not, on or before June 15, 2018.
        2.  Participants must bring their own laptop with Windows Operating System.