Mastering data manipulation and statistical modeling with R
In short: Go beyond basic syntax to learn how to import, organize, and transform datasets. This session covers essential techniques for cutting and merging data, alongside the application of linear and mixed-effects models.
Led by instructor Helena Vallicense for MIT's Fall 2023 RES.1-002 course, this lesson explores the practical workflows of data science. You will learn how to efficiently navigate scripts and manage the lifecycle of data, from importing to saving. The session also delves into the theory and implementation of linear models and linear mixed models, with a specific focus on how to properly interpret and store your statistical results.
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Sources
- Summary by Intellect · source: Introduction to R, Part II: Playing with the Data
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