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This version of NSU News has been archived as of February 28, 2019. To search through archived articles, visit nova.edu/search. To access the new version of NSU News, visit news.nova.edu.
This version of SharkBytes has been archived as of February 28, 2019. To search through archived articles, visit nova.edu/search. To access the new version of SharkBytes, visit sharkbytes.nova.edu.
NSU Research Associate Publishes Text on R programming language
Thomas W. MacFarland, Ed.D., senior research associate and associate professor, recently published a text on the R programming language (2012; Two-Way Analysis of Variance: Statistical Tests and Graphics Using R; New York: Springer). R has developed into a robust open source software environment, available as a free download, used with multiple operating systems for the organization, statistical analysis, and graphical presentation of data.
Selected chapter sections are available at the publisher Web site (http://www.springer.com/statistics/social+sciences+%26+law/book/978-1-4614-2133-7) and a demonstration video, as part of a set of R videos, is available at https://tegr.it/y/aze (IE seems to work best for this Tegrity-based resource).