Correlation Using the R Statistical Package - Part 3: R Functions and Scripts

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: Lesson home Objectives The R Functions The R Script Summary Video