Linear Regression Using R: An Introduction to Data Modeling
本書作者:David J. Lilja, University of Minnesota
出版年份:2016
授課名稱:Data Science and Visualization 資料科學與視覺化
書評教師:國立臺北科技大學 經營管理系 李鎮宇 助理教授
【總評】
整體評價:
This textbook is excellent, however it is mostly focused on application of regression, and I’d still need a more solid textbook to cover the statistics. This serves as a very useful complementary textbook for my course, when paired with Kobacoff’s textbook.
提供試用後之建議,給欲使用此參考書授課之教師:
Highly recommended if the plan is to cover only the R interfaces for regression, that are more advanced than basic function, but not advanced enough to cover the statistical parts.
【分項評比】
完整性(Comprehensiveness):
This textbook gives a comprehensive coverage of the topic, but just the application part rather than statistical part. If more statistical coverage of regression is required, a traditional textbook on regression might be helpful (though those textbooks still seldomly covers R).
內容正確性(Content Accuracy):
No issue at all. The codes and examples on regression are all accurate. It’s an excellent introduction to regression coding using R.
清晰性(Clarity):
This textbook is very clear. Students were able to conduct R regression in their projects using this textbook as reference.
組織結構流暢度(Organization Structure Flow):
The organization is also excellent. I used several chapters as reference for the class.