Master R Statistical Computing with RStudio by Van Der Loo & de Jonge (2012 Paperback)-image
Master R Statistical Computing with RStudio by Van Der Loo & de Jonge (2012 Paperback)-image

Master R Statistical Computing with RStudio by Van Der Loo & de Jonge (2012 Paperback)

$ 3.16

Subject Area: Computers Item Height: 0.3 in gtin13: 9781782160601 Publication Name: Learning Rstudio for R Statistical Computing Item Width: 7.5 in Synopsis: A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with RStudio. The book is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio functionality to ease their development efforts. Familiarity with R is assumed. Those who want to get started with R development using RStudio will also find the book useful. Even if you already use R but want to create reproducible statistical analysis projects or extend R with self-written packages, this book shows how to quickly achieve this using RStudio., Learn to effectively perform R development, statistical analysis, and reporting with the most popular R IDE Overview A complete practical tutorial for RStudio, designed keeping in mind the needs of analysts and R developers alike. Step-by-step examples that apply the principles of reproducible research and good programming practices to R projects. Learn to effectively generate reports, create graphics, and perform analysis, and even build R-packages with RStudio. In Detail Data is coming at us faster, dirtier, and at an ever increasing rate. The necessity to handle many, complex statistical analysis projects is hitting statisticians and analysts across the globe. This book will show you how to deal with it like never before, thus providing an edge and improving productivity. "Learning RStudio for R Statistical Computing" will teach you how to quickly and efficiently create and manage statistical analysis projects, import data, develop R scripts, and generate reports and graphics. R developers will learn about package development, coding principles, and version control with RStudio. This book will help you to learn and understand RStudio features to effectively perform statistical analysis and reporting, code editing, and R development. The book starts with a quick introduction where you will learn to load data, perform simple analysis, plot a graph, and generate automatic reports. You will then be able to explore the available features for effective coding, graphical analysis, R project management, report generation, and even project management. "Learning RStudio for R Statistical Computing" is stuffed with feature-rich and easy-to-understand examples, through step-by-step instructions helping you to quickly master the most popular IDE for R development What you will learn from this book Learn to install and run RStudio on a desktop or a web server Acquaint yourself with the latest and advanced R console features Perform code editing and navigation Learn to create advanced and interactive graphics Effectively manage your R project and project files Learn to build R extension packages Perform reproducible statistical analyses within your R projects Learn your way through getting Approach A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with RStudio. Who this book is written for The book is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio functionality to ease their development efforts. Familiarity with R is assumed. Those who want to get started with R development using RStudio will also find the book useful. Even if you already use R but want to create reproducible statistical analysis projects or extend R with self-written packages, this book shows how to quickly achieve this using RStudio. Publisher: Packt Publishing, The Limited Edition Description: New Edition Type: Textbook Author: Mark P. J. Van Der Loo, Edwin De Jonge ISBN-10: 1782160604 Item Length: 9.2 in ISBN-13: 9781782160601 Publication Year: 2012 Language: English Item Weight: 8.2 Oz brand: Packt Publishing, The Limited Number of Pages: 126 Pages Format: Trade Paperback Subject: Programming Languages / General, Programming / General, Mathematical & Statistical Software, Programming / Open Source, Operating Systems / Apple (Mac OS & iOS), Hardware / Personal Computers / Macintosh Features: New Edition

Description

Learning RStudio for R Statistical Computing, Paperback by Van Der Loo, Mark P. J.; De Jonge, Edwin, ISBN 1782160604, ISBN-13 9781782160601, Brand New, Free shipping in the US A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with RStudio. Th is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio functionality to ease their development efforts. Familiarity with R is assumed. Those who want to get started with R development using RStudio will also find th useful. Even if you already use R but want to create reproducible statistical analysis projects or extend R with self-written packages, this book shows how to quickly achieve this using RStudio.

  1. This book is a fantastic guide for anyone looking to master RStudio for R development. The clear, step-by-step instructions make complex tasks feel simple and approachable. Perfect for both beginners and experienced users—highly recommended for boosting productivity! The examples are practical, and the explanations help unlock RStudio’s full potential. A must-have resource!

    Marcus56c05e

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