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.
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.