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Linear regression using R : an introduction to data modeling / David J. Lilja.
- Format:
- Book
- Author/Creator:
- Lilja, David J.
- Series:
- Open Textbook Library.
- Open textbook library.
- Language:
- English
- Subjects (All):
- Mathematical statistics--Data processing--Textbooks.
- Mathematical statistics.
- R (Computer program language)--Textbooks.
- R (Computer program language).
- Statistics as Topic.
- Programming Languages.
- Mathematical statistics--Data processing.
- Statistische Analyse--R <Programm>.
- Medical Subjects:
- Statistics as Topic.
- Programming Languages.
- Local Subjects:
- Statistische Analyse--R <Programm>.
- Genre:
- Textbooks.
- Electronic books.
- Handbooks and manuals.
- Physical Description:
- 1 online resource : illustrations.
- Updated irregularly.
- Distribution:
- Minneapolis : Open Textbook Library.
- Place of Publication:
- Minneapolis, MN : University of Minnesota Libraries Publishing, 2016-
- System Details:
- Mode of access: World Wide Web.
- text file
- Summary:
- "Linear Regression Using R: An Introduction to Data Modeling presents one of the fundamental data modeling techniques in an informal tutorial style. Learn how to predict system outputs from measured data using a detailed step-by-step process to develop, train, and test reliable regression models. Key modeling and programming concepts are intuitively described using the R programming language. All of the necessary resources are freely available online."--Open Textbook Library.
- Contents:
- 1. Introduction
- 2. Understand Your Data
- 3. One-Factor Regression
- 4. Multi-factor Regression
- 5. Predicting Responses
- 6. Reading Data into the R Environment
- 7. Summary
- 8. A Few Things to Try Next.
- Notes:
- Includes bibliographical references and index.
- This bibliographic record is available under the Creative Commons CC0 "No Rights Reserved" license.
- Description based on online version, edition 1.0, 2016; Title from PDF (viewed on October 31, 2016)
- ISBN:
- 1946135003
- 9781946135001
- OCLC:
- 961480291
- Access Restriction:
- Open Access Unrestricted online access
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