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Viser: Learning R

Learning R, 1. udgave
Søgbar e-bog

Learning R Vital Source e-bog

Richard Cotton
(2013)
O'Reilly Media, Inc
299,00 kr.
Leveres umiddelbart efter køb
Learning R, 1. udgave
Søgbar e-bog

Learning R Vital Source e-bog

Richard Cotton
(2013)
O'Reilly Media, Inc
299,00 kr.
Leveres umiddelbart efter køb
Learning R

Learning R

Richard Cotton
(2013)
Sprog: Engelsk
O'Reilly Media, Incorporated
498,00 kr.
ikke på lager, Bestil nu og få den leveret
om ca. 10 hverdage

Detaljer om varen

  • 1. Udgave
  • Vital Source searchable e-book (Reflowable pages): 400 sider
  • Udgiver: O'Reilly Media, Inc (September 2013)
  • ISBN: 9781449357184
Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what youâ??ve learned, and concludes with exercises, most of which involve writing R code. Write a simple R program, and discover what the language can do Use data types such as vectors, arrays, lists, data frames, and strings Execute code conditionally or repeatedly with branches and loops Apply R add-on packages, and package your own work for others Learn how to clean data you import from a variety of sources Understand data through visualization and summary statistics Use statistical models to pass quantitative judgments about data and make predictions Learn what to do when things go wrong while writing data analysis code
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Bookshelf online: 5 år fra købsdato.
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Detaljer om varen

  • 1. Udgave
  • Vital Source searchable e-book (Fixed pages): 400 sider
  • Udgiver: O'Reilly Media, Inc (September 2013)
  • ISBN: 9781449357191
Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what youâ??ve learned, and concludes with exercises, most of which involve writing R code. Write a simple R program, and discover what the language can do Use data types such as vectors, arrays, lists, data frames, and strings Execute code conditionally or repeatedly with branches and loops Apply R add-on packages, and package your own work for others Learn how to clean data you import from a variety of sources Understand data through visualization and summary statistics Use statistical models to pass quantitative judgments about data and make predictions Learn what to do when things go wrong while writing data analysis code
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.

Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 10 sider kan printes ad gangen
Copy: højest 10 sider i alt kan kopieres (copy/paste)

Detaljer om varen

  • Paperback: 400 sider
  • Udgiver: O'Reilly Media, Incorporated (September 2013)
  • ISBN: 9781449357108

Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you'll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.

The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what you've learned, and concludes with exercises, most of which involve writing R code.

  • Write a simple R program, and discover what the language can do
  • Use data types such as vectors, arrays, lists, data frames, and strings
  • Execute code conditionally or repeatedly with branches and loops
  • Apply R add-on packages, and package your own work for others
  • Learn how to clean data you import from a variety of sources
  • Understand data through visualization and summary statistics
  • Use statistical models to pass quantitative judgments about data and make predictions
  • Learn what to do when things go wrong while writing data analysis code
Preface The R Language
Chapter 1: Introduction
Chapter 2: A Scientific Calculator
Chapter 3: Inspecting Variables and Your Workspace
Chapter 4: Vectors, Matrices, and Arrays
Chapter 5: Lists and Data Frames
Chapter 6: Environments and Functions
Chapter 7: Strings and Factors
Chapter 8: Flow Control and Loops
Chapter 9: Advanced Looping
Chapter 10: Packages
Chapter 11: Dates and Times The Data Analysis Workflow
Chapter 12: Getting Data
Chapter 13: Cleaning and Transforming
Chapter 14: Exploring and Visualizing
Chapter 15: Distributions and Modeling
Chapter 16: Programming
Chapter 17: Making Packages Appendixes Bibliography Index Colophon
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