This chapter introduces readers to practical applications of R for calculating and interpreting descriptive statistics. Using the psych package (Revelle, 2020) and ggplot2 (Kassambara, 2023), readers learn to compute overall and category-specific descriptive statistics, assess distributions including normal and skewed data, evaluate skewness and kurtosis, calculate frequencies and proportions, and visualize results. By guiding readers from basic package installation and library loading to the execution of real analyses, this chapter equips them with the foundational skills needed to analyze datasets effectively and confidently within R.

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Running Descriptive Statistics and Frequencies in R

  • Mark A. Perkins

摘要

This chapter introduces readers to practical applications of R for calculating and interpreting descriptive statistics. Using the psych package (Revelle, 2020) and ggplot2 (Kassambara, 2023), readers learn to compute overall and category-specific descriptive statistics, assess distributions including normal and skewed data, evaluate skewness and kurtosis, calculate frequencies and proportions, and visualize results. By guiding readers from basic package installation and library loading to the execution of real analyses, this chapter equips them with the foundational skills needed to analyze datasets effectively and confidently within R.