Statistical Analyses and Graphical Presentations in Biostatics Using Base R and the tidyverse Ecosystem

Thomas W. MacFarland
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Thomas W. MacFarland: Nova Southeastern University, Office of Institutional Effectiveness and College of Computing and Engineering

Chapter Chapter 5 in Introduction to Data Science in Biostatistics, 2024, pp 221-339 from Springer

Abstract: Abstract The purpose of this lesson is to provide a unified summary of how R is used to engage in statistical analyses and produce graphical presentations of outcomes, focusing on use in biostatistics. Along with the use of Base R, this lesson will also address use of the tidyverse ecosystem. Going beyond early presentations in this text, this lesson will provide a heightened degree of formality to the processes used in statistics, processes that are common to any dedicated approach to statistical analyses.

Keywords: Anderson-Darling Test for Normality; Application Programming Interface (API); Base R; Beautiful Graphics; Binary Logistic Regression; Chance; Chi-Square; Correlation Matrix; Cut Score; Friedman Twoway Analysis of Variance (ANOVA) by Ranks; geom; Kruskal-Wallis H-Test for Oneway Analysis of Variance (ANOVA) by Ranks; Linear Regression; Mann-Whitney U Test; Mean; Measures of Central Tendency; Median; Mode; Nonparametric; Null Hypothesis; Odds; Odds Ratio; Oneway Analysis of Variance (ANOVA); Parametric; Pearson’s Coefficient of Correlation; Percentile; Prediction; Probability; R; Range; Spearman’s Rank Difference Coefficient of Correlation; Standard Deviation; Student’s t-Test for Independent Samples; Student’s t-Test for Matched Pairs; tidyverse Ecosystem; Twoway Analysis of Variance (ANOVA); Wilcoxon Matched-Pairs Signed Ranks Test (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/978-3-031-46383-9_5

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