RStudio for R statistical computing cookbook : over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature

Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature About This Book 54 useful and practical tasks to improve working systems Includes optimizing performance and reliability or uptime, reporting, system management tools, interfacing...

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Bibliographic Details
Main Author: Cirillo, Andrea, (Author)
Format: eBook
Language: English
Published: Birmingham, UK : Packt Publishing, 2016.
Series: Quick answers to common problems.
Subjects:
R (Computer program language)
Mathematical statistics > Data processing.
elektronické knihy
electronic books
ISBN: 9781784396947
178439694X
1784391034
9781784391034
Physical Description: 1 online resource (1 volume) : illustrations.

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Table of contents

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006 m o d
007 cr cn|||||||||
008 160518s2016 enka o 001 0 eng d
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020 |a 9781784396947  |q (electronic bk.) 
020 |a 178439694X  |q (electronic bk.) 
020 |z 178439694X 
020 |z 1784391034 
020 |z 9781784391034 
035 |a (OCoLC)949908726 
100 1 |a Cirillo, Andrea,  |e author. 
245 1 0 |a RStudio for R statistical computing cookbook :  |b over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature /  |c Andrea Cirillo. 
264 1 |a Birmingham, UK :  |b Packt Publishing,  |c 2016. 
300 |a 1 online resource (1 volume) :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Quick answers to common problems 
500 |a Includes index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature About This Book 54 useful and practical tasks to improve working systems Includes optimizing performance and reliability or uptime, reporting, system management tools, interfacing to standard data ports, and so on Offers 10-15 real-life, practical improvements for each user type Who This Book Is For This book is targeted at R statisticians, data scientists, and R programmers. Readers with R experience who are looking to take the plunge into statistical computing will find this Cookbook particularly indispensable. What You Will Learn Familiarize yourself with the latest advanced R console features Create advanced and interactive graphics Manage your R project and project files effectively Perform reproducible statistical analyses in your R projects Use RStudio to design predictive models for a specific domain-based application Use RStudio to effectively communicate your analyses results and even publish them to a blog Put yourself on the frontiers of data science and data monetization in R with all the tools that are needed to effectively communicate your results and even transform your work into a data product In Detail The requirement of handling complex datasets, performing unprecedented statistical analysis, and providing real-time visualizations to businesses has concerned statisticians and analysts across the globe. RStudio is a useful and powerful tool for statistical analysis that harnesses the power of R for computational statistics, visualization, and data science, in an integrated development environment. This book is a collection of recipes that will help you learn and understand RStudio features so that you can effectively perform statistical analysis and reporting, code editing, and R development. The first few chapters will teach you how to set up your own data analysis project in RStudio, acquire data from different data sources, and manipulate and clean data for analysis and visualization purposes. You'll get hands-on with various data visualization methods using ggplot2, and you will create interactive and multidimensional visualizations with D3.js. Additional recipes will help you optimize your code; implement various statistical models to manage large datasets; perform text analysis and predictive analysis; and master time series analysis, machine learning, forecasting; and so on. In the final few chapters... 
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650 0 |a R (Computer program language) 
650 0 |a Mathematical statistics  |x Data processing. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
830 0 |a Quick answers to common problems. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpRSRSCCO3/rstudio-for-r?kpromoter=marc  |y Full text 

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