In this eLesson we learned how to calculate correlation coefficient values for Adjusted Yield and Water Index, as well as Adjusted Yield and Ratio vegetation index (RVI) using the data that our domain scientist, Sarah Grogan, recorded in her wheat experiment measuring the Canopy Spectral Reflectance (CSR). In order to do the data analysis, we learned some basic concepts of R programming and computational thinking. The majority of the R codes were written using R functions and was done in order to organized and prepare Sarah's data. Following this, we were able to write an R script to finally calculate the Correlation coefficient.
We encourage you to find a problem in your domain and/or research that you can practice these concepts. Remember that in order to solve the problem the first step is to take a Computational Thinking approach and simplify the tasks so that they can be programmed in a language such as R.