Agronomy and Horticulture Department
Correlation Using the R Statistical Package - Part 3: R Functions and Scripts
Date of this Version
2014
Document Type
Article
Citation
Plant and Soil Sciences eLibrary (PASSeL) Lesson
Abstract
Objectives
In this lesson module we will calculate the correlation coefficient between one of the Canopy Spectral Reflectance (CSR) indices with yield and/or yield components under water stressed and non-stressed treatments in 300 winter wheat lines. As we analyze one aspect of the recorded data we will demonstrate the concepts of R programming and computational thinking to accomplish this goal.
After completing this lesson, you will be able to:
1. Prepare experimental data for analysis using the R functions.
2. Using R and actual data, calculate correlation coefficient values.
3. Demonstrate how to use Computational Thinking for problem-solving in a typical domain scenario in a plant breeding experiment.
Modules:
Comments
Copyright © 2014 Ashu Guru and Deana Namuth-Covert. Used by permission.
This project was supported in part by the National Research Initiative Competitive Grants CAP project 2011-68002-30029 from the USDA National Institute of Food and Agriculture, administered by the University of California-Davis and by the National Science Foundation (NSF), Division of Undergraduate Education, National SMETE Digital Library Program, Award #0938034, administered by the University of Nebraska. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the USDA or NSF.
This eLesson was supported in part by the National Research Initiative Competitive Grants CAP project 2011-68002-30029 from the USDA National Institute of Food and Agriculture, administered by the University of California-Davis. Any opinions, findings, conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the USDA -NIFA.