Linear regression models, which we covered in the previous chapter, can handle continuous responses that have a linear association with the predictors. In this chapter, we will extend these models to allow the response variable to differ in distribution. But, before getting our hands dirty with the generalized linear models, we need to stop for a while and discuss regression models in general.
Mastering Data analysis with R
By :
Mastering Data analysis with R
By:
Overview of this book
Table of Contents (19 chapters)
Mastering Data Analysis with R
Credits
www.PacktPub.com
Preface
Free Chapter
Hello, Data!
Getting Data from the Web
Filtering and Summarizing Data
Restructuring Data
Building Models (authored by Renata Nemeth and Gergely Toth)
Beyond the Linear Trend Line (authored by Renata Nemeth and Gergely Toth)
Unstructured Data
Polishing Data
From Big to Small Data
Classification and Clustering
Social Network Analysis of the R Ecosystem
Analyzing Time-series
Data Around Us
Analyzing the R Community
References
Customer Reviews