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Future Actions and Next Steps

Thomas W. MacFarland and Jan M. Yates
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Thomas W. MacFarland: Nova Southeastern University Fort Lauderdale, Senior Research Associate, Office of Institutional Effectiveness
Jan M. Yates: Nova Southeastern University Fort Lauderdale, Professor Emerita, Abraham S. Fischler College of Education

Chapter Chapter 9 in Using R for Biostatistics, 2021, pp 883-889 from Springer

Abstract: Abstract The purpose of this lesson is to provide a brief summary of this text and to introduce a few topics that should be considered once initial skills in the use of R for biostatistics have been mastered. A brief introduction to R Markdown is provided, in an attempt to demonstrate how R syntax, R output, and report generation can be integrated into one common set of actions. There is also an initial discussion of how R fits into the Big Data paradigm and from that aim how R, as well as other statistical analysis software, can be used to meet challenges of the constantly evolving field of BioInformatics. A few ideas on external resources that may be useful for learning more about R are also identified. Finally, contact information for the authors is also provided.

Keywords: Big Data; BioInformatics; biostatistics; Code Book; comma- separated values (.csv) file; Command Line Interface (CLI); Comprehensive R Archive Network (CRAN); data analysis; Graphical User Interface (GUI); open source software; R; R Commander; R Markdown; R Studio. (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-62404-0_9

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DOI: 10.1007/978-3-030-62404-0_9

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