• Title: R Succinctly
• Author(s) Barton Poulson
• Publisher: Syncfusion Inc. (2014)
• Paperback: N/A
• eBook: PDF (128 pages, 3.9 MB)
• Language: English
• ISBN-10: N/A
• ISBN-13: N/A
• Share This:  

Book Description

Begin developing your mastery of the powerful R programming language. Become comfortable with the R environment and learn how to find ways for R to fulfill your data needs. With author Barton Poulson as your guide, you will soon be making use of this flexible, unparalleled tool. Unprecedented control of your data is within your grasp!

Analyzing your data is vital for success. Begin mastering statistical analysis with R Succinctly.

• N/A

• Amazon

• The R Programming Language
• Statistics and SAS Programming
• Data Analysis and Data Mining
• Geographic Information System (GIS) and Web Mapping
• Succinctly Free eBooks Series

• R Succinctly (Barton Poulson)
• The Mirror Site (1) - PDF

• An Introduction to R (Alex Douglas, et al.)

  The main aim of this book is to help you climb the initial learning curve and provide you with the basic skills and experience (and confidence!) to enable you to further your experience in using R.

• Mastering Software Development in R (Roger D. Peng, et al.)

  The book covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products.

• R Cookbook: Recipes for Data Analysis, Statistics, and Graphics

  This book is full of how-to recipes, each of which solves a specific problem. Each recipe includes a quick introduction to the solution followed by a discussion that aims to unpack the solution and give you some insight into how it works.

• R Graphics Cookbook: Practical Recipes for Visualizing Data

  This cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly - without having to comb through all the details of R's graphing systems.

• Doing Data Science in R: An Introduction for Social Scientists

  This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. It builds knowledge and skills gradually.

• Efficient R Programming: Practical Guide to Smarter Programming

  This book is about increasing the amount of work you can do with R in a given amount of time. It's about both computational and programmer efficiency. This book is for anyone who wants to make their use of R more reproducible, scalable, and faster.

• Advanced R Programming (Hadley Wickham)

  This book presents useful tools and techniques for attacking many types of R programming problems. It not only helps current R users become R programmers but also shows existing programmers what's special about R.

• Introduction to Statistical Data Analysis with R (Matthias Kohl)

  The book offers an introduction to statistical data analysis applying the free statistical software R, probably the most powerful statistical software today. The analyses are performed and discussed using real data.

• R for Data Science: Visualize, Model, Transform, Tidy, Import

  This book teaches you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it, visualize it and model it, how data science can help you work with the uncertainty and capture the opportunities.