R Programming for data science

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This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox.

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Title Statements

Full title :R Programming for data science / Roger D. Peng.

Summary

Edition Statements

Publication Date:©2014-2016.

Publication Statements

Publisher(s):Leanpub
Place of Publication:Victoria, British Columbia, Canada
Language:eng
Publication Date:©2014-2016.

The Physical Object

Description:183 pages : : illustrations ; : 28 cm

Edition Identifiers

ISBN:9781365056826, 1365056821
oclc:ocn942081170
LC Classification:QA76.73.R3

Stay in touch -- Preface -- History and overview of R -- Getting started with R -- R Nuts and Bolts -- Getting data in and out of R -- Using the reader Package -- Using textual and binary formats for storing data -- Interfaces to the outside world -- Subsetting R objects -- Vectorized operations -- Dates and times -- Managing data frames with the dp 1 yr package -- Control Structures -- Functions Scoping rules of R -- Coding Standards for R -- Loop functions -- Regular Expressions -- Debugging -- Profiling R Code -- Simulation -- data Analysis case study: Changes in fine particle Air Pollution in the U.S. -- Parallel Computation -- About the Author.