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This chapter introduces the book, which provides a succinct and practical guide for social science graduate students and academics to learn R for basic statistical processes. The book covers core topics such as measures of central tendency and variance, frequencies and proportions, data visualization, chi-square tests, t-tests, ANOVA, correlations, and regression. The book also teaches data importing and manipulation, explains statistical concepts and assumptions, and guides interpretation of R output. Practice datasets and freely available R code support hands-on learning and skill development throughout this volume.

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Introduction

  • 章节

  • 发表日期：

    2026年

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  • Mark A. Perkins

摘要

This chapter introduces the book, which provides a succinct and practical guide for social science graduate students and academics to learn R for basic statistical processes. The book covers core topics such as measures of central tendency and variance, frequencies and proportions, data visualization, chi-square tests, t-tests, ANOVA, correlations, and regression. The book also teaches data importing and manipulation, explains statistical concepts and assumptions, and guides interpretation of R output. Practice datasets and freely available R code support hands-on learning and skill development throughout this volume.