This webinar introduces R statistical software with an emphasis on application to plant breeding, including ANOVA using simple linear models, ANOVA using mixed models with multi-year data, variance components calculation to estimate heritability, and simple marker trait analysis. The webinar also includes instruction to obtain R, enter basic commands, import and export data, and install and load packages.
About the Webinar
During this webinar, Dr. Heather Merk, The Ohio State University, introduces R software for statistical analysis, including
This one hour webinar has been divided into seven videos, which are listed in order on this webpage. The eighth video is the full webinar. The powerpoint slides (in pdf format), sample data files, and sample script are provided at the bottom of the page.
At the end of this webinar you should be able to do the following using R:
Install and run R
Find R packages, install, and load them
Read in data and visualize distribution
Test if there are differences between varieties (ANOVA using linear regression)
Dr. Merk combines her background in plant breeding and genetics with her interest in science communication in her role of content coordinator for the plant breeding and genomics community of practice at eXtension.org. As content coordinator, Dr. Merk leads development, review, and publication of online outreach materials targeted to plant breeding professionals. Dr. Merk obtained her Honors Bachelor of Science from the University of Toronto and her Ph.D. from The Pennsylvania State University.
Adler, J. 2010. R in a nutshell: a desktop quick reference. O’Reilly, Sebastapol, CA.
Crawley, M. 2007. The R book. Wiley, Hoboken, NJ.
Dalgaard, P. 2008. Introductory statistics with R. Springer-Verlaugh, NY.
Murrell, P. 2006. R graphics. Chapman & Hall/CRC, NY.
Zuur, A. F., E. N. Leno, and E.H.W.G. Meesters. 2009. A beginner’s guide to R. Springer, NY.
Development of this page was supported in part by the National Institute of Food and Agriculture (NIFA) Solanaceae Coordinated Agricultural Project, agreement 2009-85606-05673, administered by Michigan State University. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the United States Department of Agriculture.