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georgia:introduction_to_r_studio

Introduction to R Studio

  • Name: William Norfolk
  • Position and Institution: PhD Candidate, University of Georgia
  • Contact: Email: william.norfolk[at]uga.edu, Github: https://github.com/williamnorfolk
  • Available for contact for questions and classroom visits: Yes
  • Year contributed: 2021

Categories

  • Grade Level: 9-12

Abstract

Analysis of biological data is an essential component of scientific research. As technology advances the ability to collect larger and more complex datasets has increased ten-fold. The increase in complex datasets has increased the need for adaptive analysis tools to process data and produce quality visualizations. R statistical analysis software is a multi-function platform that has become increasingly popular in the field of biological sciences. R software employs the usage of a coding interface to perform a range of analytical functions. This functionality allows for documentation and reproducibility of the analytical methods used to produce research findings. While R coding may seem daunting at first glance, most researchers make use of the R platform Rstudio which is a set of integrated tools designed to make R more user friendly and easy to manage. Through this lesson, we will explore the basic functionality and usage of Rstudio as an analysis tool.

Keywords

  • data science
  • data analysis
  • R and Rstudio

Files

georgia/introduction_to_r_studio.txt · Last modified: 2021/05/25 13:13 by georgia