An R Companion for Applied Statistics I: Basic Bivariate Techniques by Danney Ra

Description: An R Companion for Applied Statistics I by Danney Rasco An R Companion for Applied Statistics I: Basic Bivariate Techniques breaks the language of the R software down into manageable chunks in order to help students learn how to use it. R is a powerful, flexible, and free tool. However, the flexibility-which eventually becomes a great asset-can make the initial learning curve appear steep. This book introduces a few key aspects of the R tool. As readers become comfortable with these aspects, they develop a foundation from which to more thoroughly explore R and the packages available for it. This introduction does not explain every possible way to analyze data or perform a specific type of analysis. Rather, it focuses on the analyses that are traditionally included in an undergraduate statistics course and provides one or two ways to run these analyses in R. Datasets and scripts to run the examples are provided on an accompanying website. The book has been designed to be an R companion to Warners Applied Statistics I, Third Edition, and includes end-of-chapter instructions for replicating the examples from that book in R. However, this text can also be used as a stand-alone R guide, without reference to the Warner text. FORMAT Paperback LANGUAGE English CONDITION Brand New Author Biography Danney Rasco is an Assistant Professor in the Department of Psychology, Sociology, and Social Work at West Texas A&M University. As a self-professed stats nerd, he enjoys (yes, enjoys) teaching three or four sections of statistics each year and simply smiles and shrugs when students shake their heads at his enthusiasm and zeal for data and the beautiful sport of number crunching. In his "free" time, he plans statistics workshops because he is a glutton for punishment. This love for statistics and teaching (i.e., nerdiness) resulted in a Summer Teaching Assistant Fellowship from the University of New Hampshire, an Intellectual Contribution Award from the College of Education and Social Sciences at West Texas A&M University. Dr. Rasco has a masters degree in clinical and counseling psychology from Midwestern State University, a masters degree and PhD in social psychology from the University of New Hampshire, and a Cognate in College Teaching from the University of New Hampshire. One day he will buy frames, perhaps with the proceeds from this book, and display these degrees proudly on a wall. Table of Contents PrefaceAcknowledgmentsAbout the AuthorChapter 1: Introduction: What is R?Downloading R and RStudioCreating a Project FolderGetting Acquainted with the RStudio EnvironmentAppendix 1A: Preparing RStudio Project FolderChapter 2: Basic Tasks in RCoding in R: Object-Oriented ProgrammingCreating DataExporting DataImporting DataConverting VariablesSummary of Key FunctionsChapter 3: Frequency TablesFrequency Tables with Quantitative VariablesAppendix 3A: R Instructions to Accompany Warner (2020a)Chapter 4: Descriptive StatisticsDescribing Central TendencyDescribing VariabilityAppendix 4A: R Instructions to Accompany Warner (2020a)Appendix 4B: Mode FunctionChapter 5: Visualizing Data: Bar Charts, Histograms, and BoxplotsVisualizing Categorical VariablesVisualizing Quantitative VariablesVisualizing and Accounting for a Second VariableAppendix 5A: R Instructions to Accompany Warner (2020a)Chapter 6: Evaluating Score Locations: Introducing the Normal Distribution and z ScoresGetting Familiar With New Data Frames and VariablesCumulative Percentagez ScoresAddressing NormalityAppendix 6A: R Instructions to Accompany Warner (2020a)Chapter 7: Sampling Error and Confidence IntervalsMonte Carlo SimulationsConfidence IntervalsAppendix 7A: R Instructions to Accompany Warner (2020a)Chapter 8: One-Sample t Test: Introduction to Statistical Significance TestsChecking AssumptionsPerforming One-Sample t TestsPresenting ResultsConsidering AlternativesAppendix 8A: R Instructions to Accompany Warner (2020a)Appendix 8B: One-Sample z TestChapter 9: Significance Tests Continued: Effect Size and PowerEstimating the Needed Sample SizeEstimating the Obtained PowerChapter 10: Bivariate Pearson CorrelationChecking AssumptionsPerforming Pearson′s Bivariate CorrelationConsidering AlternativesAppendix 10A: R Instructions to Accompany Warner (2020a)Chapter 11: Bivariate RegressionChecking AssumptionsPerforming Bivariate RegressionAppendix 11A: R Instructions to Accompany Warner (2020a)Chapter 12: Independent-Samples t TestChecking AssumptionsPerforming Independent-Samples t TestsPresenting ResultsConsidering AlternativesAppendix 12A: R Instructions to Accompany Warner (2020a)Appendix 12B: Wilcoxon-Mann-Whitney U TestChapter 13: One-Way Between-Subjects Analysis of VarianceChecking AssumptionsPerforming One-Way Between-Subjects ANOVA TestsPresenting ResultsConsidering AlternativesAppendix 13A: R Instructions to Accompany Warner (2020a)Chapter 14: Paired-Samples t TestChecking AssumptionsPerforming Paired-Samples t TestsPresenting ResultsConsidering AlternativesAppendix 14A: R Instructions to Accompany Warner (2020a)Chapter 15: One-Way Repeated-Measures Analysis of VarianceChecking AssumptionsPerforming One-Way Repeated-Measures ANOVA TestsPresenting ResultsConsidering AlternativesAppendix 15A: R Instructions to Accompany Warner (2020a)Chapter 16: Factorial Analysis of VarianceChecking AssumptionsPerforming Two-Way Between-Subjects ANOVA TestsPresenting ResultsConsidering AlternativesAppendix 16A: R Instructions to Accompany Warner (2020a)Appendix 16B: Converting Education Variable to Dichotomous VariableChapter 17: Chi-Square (?2) Test of IndependenceChecking AssumptionsPerforming Chi-Square (?2) Tests of IndependencePresenting ResultsConsidering AlternativesAppendix 17A: R Instructions to Accompany Warner (2020a)Chapter 18: Parting THoughts About RMoving ForwardContinuing to Learn RReferences Review Rasco′s An R Companion to Applied Statistics I is an excellent companion to Warner′s seminal statistics text. If you′ve ever wanted to use R in place of commercial statistics, this is the book that will help you achieve that goal. -- Jeffrey SavageRasco′s text has taken the complexity out of using R for students who are learning the system. His engaging text gives step by step instructions with visuals. He thoroughly covers the relevance and assumptions of each statistical analysis. -- Lina Racicot Review Quote Rascos text has taken the complexity out of using R for students who are learning the system. His engaging text gives step by step instructions with visuals. He thoroughly covers the relevance and assumptions of each statistical analysis. Details ISBN1071806319 Author Danney Rasco Short Title R COMPANION FOR APPLIED STATIS Pages 256 Language English ISBN-10 1071806319 ISBN-13 9781071806319 Format Paperback Year 2020 Subtitle Basic Bivariate Techniques UK Release Date 2020-05-21 Imprint SAGE Publications Inc Place of Publication Thousand Oaks Country of Publication United States NZ Release Date 2020-05-21 US Release Date 2020-05-21 Publication Date 2020-05-21 Publisher SAGE Publications Inc DEWEY 519.502855133 Audience Tertiary & Higher Education AU Release Date 2020-05-20 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:149539340;

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