Hands-On Programming with R

Hands-On Programming with R
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Write Your Own Functions and Simulations
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Artikel-Nr:
9781449359102
Veröffentl:
2014
Einband:
EPUB
Seiten:
250
Autor:
Garrett Grolemund
eBook Typ:
EPUB
eBook Format:
EPUB
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

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, youll learn how to load data, assemble and disassemble data objects, navigate Rs environment system, write your own functions, and use all of Rs 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. Youll 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 computers 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 Rs package system and debugging toolsPractice and apply R programming concepts as you learn them
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, youll learn how to load data, assemble and disassemble data objects, navigate Rs environment system, write your own functions, and use all of Rs 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. Youll 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 computers 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 Rs package system and debugging toolsPractice and apply R programming concepts as you learn them

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