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

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Ashu Guru

University of Nebraska Raikes School

Deana Namuth-Covert

University of Nebraska Dept of Agronomy and Horticulture

2014

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.  
 

Objectives

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.Title

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, adminstered 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.

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