Two-Way Analysis of Variance by Thomas W. MacFarland

Author:Thomas W. MacFarland
Language: eng
Format: epub
Publisher: Springer New York, New York, NY

Thomas W. MacFarlandSpringerBriefs in StatisticsTwo-Way Analysis of VarianceStatistical Tests and Graphics Using R10.1007/978-1-4614-2134-4_4© Thomas W. MacFarland 2012

4. Two-Way Analysis of Variance (ANOVA) Sample 3: Comparison of Larvae Counts by AgChem Formulation and by AgChem Application Time-of-Day

Thomas W. MacFarland1

(1)Office for Institutional Effectiveness, Nova Southeastern University, Fort Lauderdale, FL, USA

Thomas W. MacFarland

Email: [email protected]

Abstract

In this chapter, R is used to support detailed analyses relevant to the biological sciences, where main effects and possible interactions are examined for how a specific insect reacts to different chemical formulations and environmental factors. New R-based tools (packages and associated functions and graphics) are introduced in this chapter, resulting in graphical output that approaches publishable quality. An additional feature in this chapter is the presentation of R syntax that treats data from a nonparametric perspective, which should be considered if there are concerns about data distribution patterns or other assumptions inherent to selected tests. This chapter concludes with optional suggestions on how to manage the R work session for lengthy and complex analyses.

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