| Description |
1 online resource |
| Series |
Open textbook library |
|
Open Textbook Library
|
| Contents |
1 Introduction -- 1.1 What is a Linear Regression Model? -- 1.2 What is R? -- 1.3 What's Next? -- 2 Understand Your Data -- 2.1 Missing Values -- 2.2 Sanity Checking and Data Cleaning -- 2.3 The Example Data -- 2.4 Data Frames -- 2.5 Accessing a Data Frame -- 3 One-Factor Regression -- 3.1 Visualize the Data -- 3.2 The Linear Model Function -- 3.3 Evaluating the Quality of the Model -- 3.4 Residual Analysis -- 4 Multi-factor Regression -- 4.1 Visualizing the Relationships in the Data -- 4.2 Identifying Potential Predictors -- 4.3 The Backward Elimination Process -- 4.4 An Example of the Backward Elimination Process -- 4.5 Residual Analysis -- 4.6 When Things Go Wrong -- 5 Predicting Responses -- 5.1 Data Splitting for Training and Testing -- 5.2 Training and Testing -- 5.3 Predicting Across Data Sets -- 6 Reading Data into the R Environment -- 6.1 Reading CSV files -- 7 Summary -- 8 A Few Things to Try Next -- Bibliography -- Index |
| 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 |
| Analysis |
Mathematical statistics Data processing Handbooks, manuals, etc |
|
R (Computer program language) Handbooks, manuals, etc |
|
Mathematical statistics Data processing Handbooks, manuals, etc |
|
R (Computer program language) Handbooks, manuals, etc |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online version, edition 1.0, 2016; title from PDF (viewed on October 31, 2016) |
| Subject |
Mathematics -- Textbooks
|
|
Mathematical statistics -- Data processing -- Textbooks
|
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R (Computer program language) -- Textbooks
|
|
Statistics.
|
|
Programming languages (Electronic computers)
|
|
Statistics as Topic
|
|
Programming Languages
|
|
statistics.
|
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MATHEMATICS -- Applied.
|
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MATHEMATICS -- Probability & Statistics -- General.
|
|
Mathematics
|
|
Mathematical statistics -- Data processing
|
|
R (Computer program language)
|
|
R Programm
|
|
Statistische Analyse
|
|
Matematisk statistik -- databehandling -- handböcker, manualer, etc.
|
|
Statistisk metod -- handböcker, manualer, etc.
|
| Genre/Form |
Textbooks
|
|
Handbooks and manuals
|
| Form |
Electronic book
|
| Author |
Lilja, David, author
|
|
Open Textbook Library, distributor.
|
| ISBN |
9781946135001 |
|
1946135003 |
|
