In this chapter, we discussed how to perform regression analysis using R. We performed simple regression and analyzed fit, residuals, and other factors. We used multiple regression, including selecting and using a set of predictor values. We tried to determine a set of values from predictors using multivariate regression. Lastly, we used robust regression to overcome possible problems in the predictors and to build a reliable model. In the next chapter, we will be covering correlation.
R for Data Science
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R for Data Science
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Overview of this book
Table of Contents (19 chapters)
R for Data Science
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Data Mining Patterns
Data Mining Sequences
Text Mining
Data Analysis – Regression Analysis
Data Analysis – Correlation
Data Analysis – Clustering
Data Visualization – R Graphics
Data Visualization – Plotting
Data Visualization – 3D
Machine Learning in Action
Predicting Events with Machine Learning
Supervised and Unsupervised Learning
Index
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