1# Library to Find Best eBook for Read
Author : Charlotte Boshart
Release : 2016-01-01
Genre :
Kind : eBook
Book Rating : 083/5 ( reviews)
Book Synopsis The Easy R by : Charlotte Boshart
Download or read book The Easy R written by Charlotte Boshart. This book was released on 2016-01-01. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Elizabeth Gohmert
Release : 2020-01-02
Genre : Political Science
Kind : eBook
Book Rating : 439/5 ( reviews)
Book Synopsis Easy R by : Elizabeth Gohmert
Download or read book Easy R written by Elizabeth Gohmert. This book was released on 2020-01-02. Available in PDF, EPUB and Kindle. Book excerpt: Built on the premise that anyone can learn to use the R software, this book emphasizes using R to do useful things like writing papers and reports, creating graphs, and conducting simple data analysis.
Author : Pamela Marshalla
Release : 2004-01-01
Genre : Articulation disorders in children
Kind : eBook
Book Rating : 072/5 ( reviews)
Book Synopsis Successful R Therapy by : Pamela Marshalla
Download or read book Successful R Therapy written by Pamela Marshalla. This book was released on 2004-01-01. Available in PDF, EPUB and Kindle. Book excerpt: Designed to facilitate correct r in the most difficult clients with a blend of oral-motor and traditional articulation therapy. Understand how the jaw, lips, and tongue work for correct r production. See the difference between the consonantal and vocal r, and between the tip r and the back r. Motivate clients to participate and succeed in r therapy.
Author : Hadley Wickham
Release : 2015-09-15
Genre : Mathematics
Kind : eBook
Book Rating : 807/5 ( reviews)
Book Synopsis Advanced R by : Hadley Wickham
Download or read book Advanced R written by Hadley Wickham. This book was released on 2015-09-15. Available in PDF, EPUB and Kindle. Book excerpt: 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 ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory-efficient code This book not only helps current R users become R programmers but also shows existing programmers what’s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.
Author : Hadley Wickham
Release : 2016-12-12
Genre : Computers
Kind : eBook
Book Rating : 364/5 ( reviews)
Book Synopsis R for Data Science by : Hadley Wickham
Download or read book R for Data Science written by Hadley Wickham. This book was released on 2016-12-12. Available in PDF, EPUB and Kindle. Book excerpt: 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 to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
