자료유형 | 단행본 |
---|---|
서명/저자사항 | R and MATLAB/ David E. Hiebeler. |
개인저자 | Hiebeler, David E.,author. |
형태사항 | 1 online resource (xxi, 200 pages): illustrations. |
총서사항 | Chapman & Hall/CRC the R series |
기타형태 저록 | Print version: Hiebeler, David E. R and MATLAB. Boca Raton : CRC Press, Taylor & Francis Group, [2015] 9781466568389 |
ISBN | 9781466568396 1466568399 |
서지주기 | Includes bibliographical references (pages 199-200). |
내용주기 | Front Cover; Dedication; Contents; List of Figures; List of Tables; Preface; About the Author; Chapter 1 -- Installing and Running R and MATLAB; Chapter 2 -- Getting Started: Variables and Basic Computations; Chapter 3 -- Matrices and Vectors; Chapter 4 -- Matrix/Vector Calculations and Functions; Chapter 5 -- Lists and Cell Arrays; Chapter 6 -- Flow Control; Chapter 7 -- Running Code from Files: Scripts; Chapter 8 -- Writing Your Own Functions; Chapter 9 -- Probability and Random Numbers; Chapter 10 -- Graphics; Chapter 11 -- Numerical Computing; Chapter 12 -- File Input and Output. Chapter 13 -- MiscellaneousChapter 14 -- Calling C; Bibliography; Back Cover. |
이용제한사항 | Owing to Legal Deposit regulations this resource may only be accessed from within National Library of Scotland. For more information contact enquiries@nls.uk. |
요약 | The First Book to Explain How a User of R or MATLAB Can Benefit from the OtherIn today's increasingly interdisciplinary world, R and MATLAB?users from different backgrounds must often work together and share code. R and MATLAB?is designed for users who already know R or MATLAB and now need to learn the other platform. The book makes the transition from one platform to the other as quick and painless as possible. Enables R and MATLAB Users to Easily Collaborate and Share CodeThe author covers essential tasks, such as working with matrices and vectors, writing functions and other programming co. |
주제명 (통일서명) | MATLAB. MATLAB. --fast |
일반주제명 | Multivariate analysis --Data processing. R (Computer program language) MATHEMATICS --Essays. MATHEMATICS --Pre-Calculus. MATHEMATICS --Reference. Multivariate analysis --Data processing. R (Computer program language) |
언어 | 영어 |
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