Introduction to R: ANOVA

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United States DataDaft
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Published on ● Video Link: https://www.youtube.com/watch?v=FLyCZnjuJVA


Duration: 25:01
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This is lesson 26 of a 30-part introduction to the R programming language for data analysis and predictive modeling. Link to the code notebook below:

Intro to R: ANOVA
https://www.kaggle.com/hamelg/intro-to-r-part-26-ANOVA

This lesson covers the ANOVA test for comparing whether the mean of a numeric variable differs depending on the value one a categorical variable. This lesson covers one-way ANOVA tests for comparing across a single categorical variable, and two-way ANOVA tests for comparing across two categorical variables and their interactions.

This guide does not assume any prior exposure to R, programming or data science. It is intended for beginners with an interest in data science and those who might know other programming languages and would like to learn R.

I will create the videos for this guide such that you should be able to learn a lot just watching on YouTube, but to get the most out of the guide, it is recommended that you create a Kaggle account so that you can fork and edit each lesson so that you can follow along and run code yourself.

Introduction to R Playlist:
https://www.youtube.com/playlist?list=PLiC1doDIe9rDjk9tSOIUZJU4s5NpEyYtE



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