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An R companion for applied statistics I: basic bivariate techniques

By: Material type: TextTextPublication details: Sage Publications 2021 Thousand OaksDescription: xv, 234p.: ill. Includes referencesISBN:
  • 9781071806319
Subject(s): DDC classification:
  • 519.502855133 R2R2-I
Summary: 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 provide 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 Warner's 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. https://in.sagepub.com/en-in/sas/an-r-companion-for-applied-statistics-i/book271882
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Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Book Book Ahmedabad General Stacks Non-fiction 519.502855133 R2R2-I (Browse shelf(Opens below)) Available 204043
Book Book Bodh Gaya General Stacks OM&QT 519.502855133 RAS (Browse shelf(Opens below)) 1 Available IIMG-004356
Book Book Jammu General Stacks Non-fiction 519.5 RAS (Browse shelf(Opens below)) Available IIMJ-6103
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Table of Contents

Chapter 1: Introduction: What is R?
Chapter 2: Basic Tasks in R
Chapter 3: Frequency Tables
Chapter 4: Descriptive Statistics
Chapter 5: Visualizing Data: Bar Charts, Histograms, and Boxplots
Chapter 6: Evaluating Score Locations: Introducing the Normal Distribution and z Scores
Chapter 7: Sampling Error and Confidence Intervals
Chapter 8: One-Sample t-Test: Introduction to Statistical Significance Tests
Chapter 9: Significance Tests Continued: Effect Size and Power
Chapter 10: Bivariate Pearson Correlation
Chapter 11: Bivariate Regression
Chapter 12: Independent-Samples t-Test
Chapter 13: One-Way Between-Subjects Analysis of Variance
Chapter 14: paired-samples t-Test
Chapter 15: One-Way Repeated-Measures Analysis of Variance
Chapter 16: Factorial Analysis of Variance
Chapter 17: Chi-Square Test of Independence
Chapter 18: Parting THoughts About R

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 provide 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 Warner's 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.

https://in.sagepub.com/en-in/sas/an-r-companion-for-applied-statistics-i/book271882

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