Viser: Hands-On Programming with R - Write Your Own Functions and Simulations

Hands-On Programming with R, 1. udgave
Søgbar e-bog

Hands-On Programming with R Vital Source e-bog

Garrett Grolemund
(2014)
O'Reilly Media, Inc
239,00 kr.
Leveres umiddelbart efter køb
Hands-On Programming with R, 1. udgave
Søgbar e-bog

Hands-On Programming with R Vital Source e-bog

Garrett Grolemund
(2014)
O'Reilly Media, Inc
348,00 kr.
Leveres umiddelbart efter køb
Hands-On Programming with R, 1. udgave
Søgbar e-bog

Hands-On Programming with R Vital Source e-bog

Garrett Grolemund
O'Reilly Media, Inc
239,00 kr.
Leveres umiddelbart efter køb
Hands-On Programming with R - Write Your Own Functions and Simulations

Hands-On Programming with R

Write Your Own Functions and Simulations
Garrett Grolemund
(2014)
Sprog: Engelsk
O'Reilly Media, Incorporated
335,00 kr.
Bestil nu og få den leveret inden for 2-3 hverdage

Detaljer om varen

  • 1. Udgave
  • Vital Source searchable e-book (Reflowable pages): 250 sider
  • Udgiver: O'Reilly Media, Inc (Juni 2014)
  • ISBN: 9781449359102
Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools. RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You’ll gain valuable programming skills and support your work as a data scientist at the same time. Work hands-on with three practical data analysis projects based on casino games Store, retrieve, and change data values in your computer’s memory Write programs and simulations that outperform those written by typical R users Use R programming tools such as if else statements, for loops, and S3 classes Learn how to write lightning-fast vectorized R code Take advantage of R’s package system and debugging tools Practice and apply R programming concepts as you learn them
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: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)

Detaljer om varen

  • 1. Udgave
  • Vital Source searchable e-book (Fixed pages): 250 sider
  • Udgiver: O'Reilly Media, Inc (Juni 2014)
  • ISBN: 9781449359119
Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools. RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You’ll gain valuable programming skills and support your work as a data scientist at the same time. Work hands-on with three practical data analysis projects based on casino games Store, retrieve, and change data values in your computer’s memory Write programs and simulations that outperform those written by typical R users Use R programming tools such as if else statements, for loops, and S3 classes Learn how to write lightning-fast vectorized R code Take advantage of R’s package system and debugging tools Practice and apply R programming concepts as you learn them
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

  • 1. Udgave
  • Vital Source searchable e-book (Fixed pages)
  • Udgiver: O'Reilly Media, Inc
  • ISBN: 9781449359010
Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools.RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You’ll gain valuable programming skills and support your work as a data scientist at the same time.Work hands-on with three practical data analysis projects based on casino gamesStore, retrieve, and change data values in your computer’s memoryWrite programs and simulations that outperform those written by typical R usersUse R programming tools such as if else statements, for loops, and S3 classesLearn how to write lightning-fast vectorized R codeTake advantage of R’s package system and debugging toolsPractice and apply R programming concepts as you learn them
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: 250 sider
  • Udgiver: O'Reilly Media, Incorporated (August 2014)
  • ISBN: 9781449359010

Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you'll learn how to load data, assemble and disassemble data objects, navigate R's environment system, write your own functions, and use all of R's programming tools.

RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You'll gain valuable programming skills and support your work as a data scientist at the same time.

  • Work hands-on with three practical data analysis projects based on casino games
  • Store, retrieve, and change data values in your computer's memory
  • Write programs and simulations that outperform those written by typical R users
  • Use R programming tools such as if else statements, for loops, and S3 classes
  • Learn how to write lightning-fast vectorized R code
  • Take advantage of R's package system and debugging tools
  • Practice and apply R programming concepts as you learn them

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