R, with support from a number of add‐on packages, is an excellent teaching tool that can greatly enhance learning of exploratory data analysis (EDA) and linear regression. This article illustrates using R along with the packages tidyverse, GGally, esquisse and lindia to walk through an example of basic EDA and linear regression that might be used in an introductory class along with code examples for every step. Teaching with R can give learners control of their analysis, lower the intimidating coding barrier, and provide a platform on which to learn modeling and analysis.

中文翻译：

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在课堂上应用 R

R 在许多附加包的支持下，是一种出色的教学工具，可以极大地增强探索性数据分析 (EDA) 和线性回归的学习。本文说明了如何使用 R 以及包 tidyverse、GGally、esquisse 和 lindia 来演练一个基本 EDA 和线性回归的示例，这些示例可能会在介绍性课程中使用，以及每个步骤的代码示例。R 教学可以让学习者控制他们的分析，降低令人生畏的编码障碍，并提供一个学习建模和分析的平台。