A first course in statistical programming with R:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2021
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| Edition: | Third edition |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis Klappentext |
| Item Description: | Includes index |
| Physical Description: | xx, 260 Seiten Illustrationen, Diagramme 25 cm |
| ISBN: | 9781108995146 |
Staff View
MARC
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| 245 | 1 | 0 | |a A first course in statistical programming with R |c W. John Braun and Duncan J. Murdoch |
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| adam_text | Contents і Preface to the third edition ! Preface to the second edition xvii і Preface to the first edition xix 1 : Getting started 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 2 page XV What is statistical programming? Outline of this book The R package Why use a command line? Font conventions Installation of R and RStudio Getting started in RStudio Going further Introduction to the R language 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 2.10 First steps Basic features of R Vectors in R Data storage in R Packages, libraries, and repositories Getting help Useful R features Logical vectors and relational operators Data frames, tibbles, and lists Data input and output 1 1 2 3 3 4 4 5 6 7 7 12 13 22 27 29 32 37 40 46
3 Programming statistical graphics 3.1 3.2 3.3 3.4 3.5 4 Programming with R 4.1 4.2 4.3 4.4 4.5 4.6 4.7 5 Simple high level plots Choosing a high level graphic Low level graphics functions Graphics as a language: ggplot2 Other graphics systems Flow control Managing complexity throughfunctions The replicate 0 function Miscellaneous programmingtips Some general programming guidelines Debugging and maintenance Efficient programming і Complex programming in the tidyverse 5.1 5.2 5.3 5.4 5.5 5.6 The tidyverse principles The tibble package: a data frame improvement The readr package: reading data in the tidyverse The stringr package for manipulating strings The dplyr package for manipulating data sets Other tidyverse packages 6 I Simulation 6.1 6.2 6.3 6.4 6.5 6.6 6.7 Monte Carlo simulation Generation of pseudorandom numbers Simulation of other random variables Multivariate random number generation Markov chain simulation Monte Carlo integration Advanced simulation methods 7 ! Computational linear algebra 7.1 Vectors and matrices in R 7.2 Matrix multiplication and inversion 7.3 Eigenvalues and eigenvectors 7.4 Other matrix decompositions 7.5 Other matrix operations 53 54 67 68 70 87 93 93 108 114 115 118 125 132 139 140 141 143 144 146 149 iso 150 151 156 173 175 177 179 197 198 205 210 211 218
8 ! Numerical optimization 8.1 8.2 8.3 8.4 8.5 The golden section search method Newton-Raphson The Nelder-Mead simplex method Built-in functions Linear programming Appendix A Appendix B Review of random variables and distributions S Base graphics details B.l The plotting region and margins B.2 Adjusting axis tick labels B.3 Setting graphical parameters Index շշ9 շշշ շշ? շշյ 248 251 251 252 255 257
A First Course in Statistical Programming with R This third edition of Braun and Murdoch’s bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplotl. R Markdown is also discussed. The simulation chapter has been expanded to include an introduction to the Box-Müller and Metropolis-Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you’ll need to start programming in R, the computing standard for analyzing data. Co-written by a retired R Core Team member and an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable pro gramming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, data sets, and any errata are available from the book’s website www. statprogr. science. Worked examples—all from real applications—hundreds of exercises, and downloadable code, data sets, and solutions make a complete package for anyone working in or learning practical data science.
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| adam_txt |
Contents і Preface to the third edition ! Preface to the second edition xvii і Preface to the first edition xix 1 : Getting started 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 2 page XV What is statistical programming? Outline of this book The R package Why use a command line? Font conventions Installation of R and RStudio Getting started in RStudio Going further Introduction to the R language 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 2.10 First steps Basic features of R Vectors in R Data storage in R Packages, libraries, and repositories Getting help Useful R features Logical vectors and relational operators Data frames, tibbles, and lists Data input and output 1 1 2 3 3 4 4 5 6 7 7 12 13 22 27 29 32 37 40 46
3 Programming statistical graphics 3.1 3.2 3.3 3.4 3.5 4 Programming with R 4.1 4.2 4.3 4.4 4.5 4.6 4.7 5 Simple high level plots Choosing a high level graphic Low level graphics functions Graphics as a language: ggplot2 Other graphics systems Flow control Managing complexity throughfunctions The replicate 0 function Miscellaneous programmingtips Some general programming guidelines Debugging and maintenance Efficient programming і Complex programming in the tidyverse 5.1 5.2 5.3 5.4 5.5 5.6 The tidyverse principles The tibble package: a data frame improvement The readr package: reading data in the tidyverse The stringr package for manipulating strings The dplyr package for manipulating data sets Other tidyverse packages 6 I Simulation 6.1 6.2 6.3 6.4 6.5 6.6 6.7 Monte Carlo simulation Generation of pseudorandom numbers Simulation of other random variables Multivariate random number generation Markov chain simulation Monte Carlo integration Advanced simulation methods 7 ! Computational linear algebra 7.1 Vectors and matrices in R 7.2 Matrix multiplication and inversion 7.3 Eigenvalues and eigenvectors 7.4 Other matrix decompositions 7.5 Other matrix operations 53 54 67 68 70 87 93 93 108 114 115 118 125 132 139 140 141 143 144 146 149 iso 150 151 156 173 175 177 179 197 198 205 210 211 218
8 ! Numerical optimization 8.1 8.2 8.3 8.4 8.5 The golden section search method Newton-Raphson The Nelder-Mead simplex method Built-in functions Linear programming Appendix A Appendix B Review of random variables and distributions S Base graphics details B.l The plotting region and margins B.2 Adjusting axis tick labels B.3 Setting graphical parameters Index շշ9 շշշ շշ? շշյ 248 251 251 252 255 257
A First Course in Statistical Programming with R This third edition of Braun and Murdoch’s bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplotl. R Markdown is also discussed. The simulation chapter has been expanded to include an introduction to the Box-Müller and Metropolis-Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you’ll need to start programming in R, the computing standard for analyzing data. Co-written by a retired R Core Team member and an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable pro gramming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, data sets, and any errata are available from the book’s website www. statprogr. science. Worked examples—all from real applications—hundreds of exercises, and downloadable code, data sets, and solutions make a complete package for anyone working in or learning practical data science. |
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| spelling | Braun, W. John 1963- Verfasser (DE-588)13396440X aut A first course in statistical programming with R W. John Braun and Duncan J. Murdoch Third edition Cambridge Cambridge University Press 2021 xx, 260 Seiten Illustrationen, Diagramme 25 cm txt rdacontent n rdamedia nc rdacarrier Includes index R (Computer program language) Statistics / Data processing Datenverarbeitung Statistik Statistik (DE-588)4056995-0 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf (DE-588)4123623-3 Lehrbuch gnd-content Statistik (DE-588)4056995-0 s R Programm (DE-588)4705956-4 s DE-604 Murdoch, Duncan J. 1959- Verfasser (DE-588)1117735443 aut Erscheint auch als Online-Ausgabe 10.1017/9781108993456 Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032764023&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032764023&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Braun, W. John 1963- Murdoch, Duncan J. 1959- A first course in statistical programming with R R (Computer program language) Statistics / Data processing Datenverarbeitung Statistik Statistik (DE-588)4056995-0 gnd R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4705956-4 (DE-588)4123623-3 |
| title | A first course in statistical programming with R |
| title_auth | A first course in statistical programming with R |
| title_exact_search | A first course in statistical programming with R |
| title_exact_search_txtP | A first course in statistical programming with R |
| title_full | A first course in statistical programming with R W. John Braun and Duncan J. Murdoch |
| title_fullStr | A first course in statistical programming with R W. John Braun and Duncan J. Murdoch |
| title_full_unstemmed | A first course in statistical programming with R W. John Braun and Duncan J. Murdoch |
| title_short | A first course in statistical programming with R |
| title_sort | a first course in statistical programming with r |
| topic | R (Computer program language) Statistics / Data processing Datenverarbeitung Statistik Statistik (DE-588)4056995-0 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | R (Computer program language) Statistics / Data processing Datenverarbeitung Statistik R Programm Lehrbuch |
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