Description |
1 online resource : illustrations. |
Current Frequency |
Updated irregularly. |
Description |
data file |
Physical Medium |
polychrome |
Series |
Open textbook library
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Open Textbook Library.
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Bibliography |
Includes bibliographical references and index. |
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. |
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. |
System Details |
Mode of access: World Wide Web. |
Local Note |
Open Educational Resources (OER). Open Textbooks |
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Open Textbook Library |
Subject |
Mathematical statistics -- Data processing -- Textbooks.
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Mathematical statistics -- Data processing. |
Genre/Form |
Textbooks.
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Subject |
R (Computer program language) -- Textbooks.
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MATHEMATICS -- Applied. |
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R (Computer program language) |
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MATHEMATICS -- Probability & Statistics -- General. |
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R Programm. |
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Statistische Analyse. |
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Matematisk statistik -- databehandling -- handböcker, manualer, etc. |
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Statistisk metod -- handböcker, manualer, etc. |
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R (Programm) |
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Statistische Analyse. |
Indexed Term |
Mathematical statistics Data processing Handbooks, manuals, etc |
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R (Computer program language) Handbooks, manuals, etc |
Genre/Form |
Electronic books.
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Textbooks.
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Added Author |
Open Textbook Library, distributor.
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Other Form: |
spiral bound 9781946135032 |
ISBN |
9781946135001 (ebook) |
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1946135003 (ebook) |
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9781946135032 (spiral bound) |
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