Mastering scientific computing with R: = Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham, England
Packt Publishing
2015
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| Subjects: | |
| Item Description: | Includes index Online resource; title from cover (viewed August 3, 2016) |
| Physical Description: | 1 online resource illustrations |
| ISBN: | 1322882002 9781322882000 9781783555260 1783555262 |
Staff View
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| 245 | 1 | 0 | |a Mastering scientific computing with R |b = Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment |c Paul Gerrard, Radia M. Johnson |
| 246 | 1 | 3 | |a Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment |
| 246 | 1 | 1 | |a Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment |
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| 505 | 8 | |a "With this book, you will learn not just about R, but how to use R to answer conceptual, scientific, and experimental questions. Beginning with an overview of fundamental R concepts, you'll learn how R can be used to achieve the most commonly needed scientific data analysis tasks: testing for statistically significant differences between groups and model relationships in data. You will delve into linear algebra and matrix operations with an emphasis not on the R syntax, but on how these operations can be used to address common computational or analytical needs. This book also covers the application of matrix operations for the purpose of finding structure in high-dimensional data using the principal component, exploratory factor, and confirmatory factor analysis in addition to structural equation modeling. You will also master methods for simulation and learn about an advanced analytical method."-- | |
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| contents | "With this book, you will learn not just about R, but how to use R to answer conceptual, scientific, and experimental questions. Beginning with an overview of fundamental R concepts, you'll learn how R can be used to achieve the most commonly needed scientific data analysis tasks: testing for statistically significant differences between groups and model relationships in data. You will delve into linear algebra and matrix operations with an emphasis not on the R syntax, but on how these operations can be used to address common computational or analytical needs. This book also covers the application of matrix operations for the purpose of finding structure in high-dimensional data using the principal component, exploratory factor, and confirmatory factor analysis in addition to structural equation modeling. You will also master methods for simulation and learn about an advanced analytical method."-- |
| ctrlnum | (ZDB-4-ITC)ocn954594507 (OCoLC)954594507 (DE-599)BVBBV045351614 |
| dewey-full | 519.50285 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.50285 |
| dewey-search | 519.50285 |
| dewey-sort | 3519.50285 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| id | DE-604.BV045351614 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:15:43Z |
| institution | BVB |
| isbn | 1322882002 9781322882000 9781783555260 1783555262 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030738267 |
| oclc_num | 954594507 |
| open_access_boolean | |
| physical | 1 online resource illustrations |
| psigel | ZDB-4-ITC |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Packt Publishing |
| record_format | marc |
| spelling | Gerrard, Paul Verfasser aut Mastering scientific computing with R = Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment Paul Gerrard, Radia M. Johnson Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment Birmingham, England Packt Publishing 2015 1 online resource illustrations txt rdacontent c rdamedia cr rdacarrier Includes index Online resource; title from cover (viewed August 3, 2016) "With this book, you will learn not just about R, but how to use R to answer conceptual, scientific, and experimental questions. Beginning with an overview of fundamental R concepts, you'll learn how R can be used to achieve the most commonly needed scientific data analysis tasks: testing for statistically significant differences between groups and model relationships in data. You will delve into linear algebra and matrix operations with an emphasis not on the R syntax, but on how these operations can be used to address common computational or analytical needs. This book also covers the application of matrix operations for the purpose of finding structure in high-dimensional data using the principal component, exploratory factor, and confirmatory factor analysis in addition to structural equation modeling. You will also master methods for simulation and learn about an advanced analytical method."-- MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Open source software fast R (Computer program language) fast Science / Data processing fast R (Computer program language) Science Data processing Open source software Johnson, Radia M. Sonstige oth Erscheint auch als Druck-Ausgabe Druck-Ausgabe Gerrard, Paul. Mastering Scientific Computing with R |
| spellingShingle | Gerrard, Paul Mastering scientific computing with R = Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment "With this book, you will learn not just about R, but how to use R to answer conceptual, scientific, and experimental questions. Beginning with an overview of fundamental R concepts, you'll learn how R can be used to achieve the most commonly needed scientific data analysis tasks: testing for statistically significant differences between groups and model relationships in data. You will delve into linear algebra and matrix operations with an emphasis not on the R syntax, but on how these operations can be used to address common computational or analytical needs. This book also covers the application of matrix operations for the purpose of finding structure in high-dimensional data using the principal component, exploratory factor, and confirmatory factor analysis in addition to structural equation modeling. You will also master methods for simulation and learn about an advanced analytical method."-- MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Open source software fast R (Computer program language) fast Science / Data processing fast R (Computer program language) Science Data processing Open source software |
| title | Mastering scientific computing with R = Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment |
| title_alt | Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment |
| title_auth | Mastering scientific computing with R = Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment |
| title_exact_search | Mastering scientific computing with R = Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment |
| title_full | Mastering scientific computing with R = Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment Paul Gerrard, Radia M. Johnson |
| title_fullStr | Mastering scientific computing with R = Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment Paul Gerrard, Radia M. Johnson |
| title_full_unstemmed | Mastering scientific computing with R = Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment Paul Gerrard, Radia M. Johnson |
| title_short | Mastering scientific computing with R |
| title_sort | mastering scientific computing with r employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment |
| title_sub | = Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment |
| topic | MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Open source software fast R (Computer program language) fast Science / Data processing fast R (Computer program language) Science Data processing Open source software |
| topic_facet | MATHEMATICS / Applied MATHEMATICS / Probability & Statistics / General Open source software R (Computer program language) Science / Data processing R (Computer program language) Science Data processing Open source software |
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