R Programming for Data Science Book [PDF] Download

Download the fantastic book titled R Programming for Data Science written by Roger D. Peng, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "R Programming for Data Science", which was released on 19 April 2012. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the R (Computer program language) genre.

Summary of R Programming for Data Science by Roger D. Peng PDF

Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. 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.


Detail About R Programming for Data Science PDF

  • Author : Roger D. Peng
  • Publisher : Anonim
  • Genre : R (Computer program language)
  • Total Pages : 0 pages
  • ISBN : 9781365056826
  • PDF File Size : 22,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

Clicking on the GET BOOK button will initiate the downloading process of R Programming for Data Science by Roger D. Peng. This book is available in ePub and PDF format with a single click unlimited downloads.

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R Programming for Data Science

R Programming for Data Science
  • Publisher : Unknown Publisher
  • File Size : 50,7 Mb
  • Release Date : 19 April 2012
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Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of

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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed

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Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps

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John Chambers turns his attention to R, the enormously successful open-source system based on the S language. His book guides the reader through programming with R, beginning with simple interactive

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Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write

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An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead

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A hands-on guide for professionals to perform various data science tasks in R Key FeaturesExplore the popular R packages for data scienceUse R for efficient data mining, text analytics and

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In this age of information, the manipulation, analysis, and interpretation of data have become a fundamental part of professional life; nowhere more so than in the delivery of healthcare. From

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  • Publisher : Apress
  • File Size : 42,6 Mb
  • Release Date : 20 February 2019
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Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual