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Correlation Using the R Statistical Package - Part 2: Data Preparation

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Ashu Guru

University of Nebraska Raikes School

Deana Namuth-Covert

University of Nebraska Dept of Agronomy and Horticulture


In the first module we looked at the field experiment as described by the domain scientist and we also looked at the data from the perspective of the analyst. In this module we will learn how to install the R software then we will explore a few basics of data files that are generated by sensors and data loggers. We will also take a quick tour of tools that may be used to look at the raw data. 
We will then develop a methodology that may be taken with respect to preparing raw data for a computation that helps us analyze. Finally, we will look a few "data types" that are typically used in R.


After completing this lesson, you will be able to:

  1. Instal the R software on your computer
  2. View raw data using simple text editor
  3. Develop a methodology with respect to preparing raw data for analysis in R
  4. Dexcribe the concept of vectors, list and tables in R



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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