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Quantitative Corpus Linguistics with R
Author Stefan Th. Gries
The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for corpus linguistic analyses. Computational and corpus linguists doing corpus work will find that R provides an enormous range of ....
Release Date 2009/03 -
R 4 Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages
Author Thomas Mailund
In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dpl....
Release Date 2022/10 -
R 4 Quick Syntax Reference: A Pocket Guide to the Language, API's and Library
Author Margot Tollefson
This handy reference book detailing the intricacies of R covers version 4.x features, including numerous and significant changes to syntax, strings, reference counting, grid units, and more.Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and ....
Release Date 2022/03 -
Author Paul Teetor , JD Long
Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes ....
Release Date 2019/06 -
R Data Analysis Cookbook - Second Edition
Author Kuntal Ganguly
Over 80 recipes to help you breeze through your data analysis projects using RAbout This BookAnalyse your data using the popular R packages like ggplot2 with ready-to-use and customizable recipesFind meaningful insights from your data and generate dynamic reportsA ....
Release Date 2017/09 -
Author Gopi Subramanian
Get valuable insights from your data by building data analysis systems from scratch with R.About This BookA handy guide to take your understanding of data analysis with R to the next levelReal-world projects that focus on problems in finance, network analysis, soci....
Release Date 2017/11 -
Author Andrea Cirillo
Mine valuable insights from your data using popular tools and techniques in RAbout This BookUnderstand the basics of data mining and why R is a perfect tool for it.Manipulate your data using popular R packages such as ggplot2, dplyr, and so on to gather valuable bu....
Release Date 2017/11 -
R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages
Author Thomas Mailund
In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. In this book, you’ll learn about the following APIs and package....
Release Date 2019/08 -
R Data Structures and Algorithms
Author Achyutuni Sri Krishna Rao , Dr. PKS Prakash
Increase speed and performance of your applications with efficient data structures and algorithmsAbout This BookSee how to use data structures such as arrays, stacks, trees, lists, and graphs through real-world examplesFind out about important and advanced data str....
Release Date 2016/11 -
Author Vitor Bianchi Lanzetta
Translate your data into info-graphics using popular packages in RAbout This BookUse R's popular packages - such as ggplot2, ggvis, ggforce, and more - to create custom, interactive visualization solutions.Create, design, and build interactive dashboards using Shi....
Release Date 2017/11 -
Author Garrett Grolemund , Hadley Wickham
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 p....
Release Date 2016/12 -
Author Yu-Wei Chiu - David Chiu
Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniquesAbout This BookGain insight into how data scientists collect, process, analyze, and visualize data using some of the most popular R packagesUnders....
Release Date 2016/07 -
R for Data Science, 2nd Edition
Author Hadley Wickham , Mine Çetinkaya-Rundel , Garrett Grolemund
Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse—a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if yo....
Release Date 2023/06 -
Author Joris Meys , Andrie de Vries
Mastering R has never been easierPicking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R you'll ever need. Requiring no prior programming experience and packed wi....
Release Date 2015/07 -
Author Andrie de Vries , Joris Meys
Still trying to wrap your head around R?With more than two million users, R is the open-source programming language standard for data analysis and statistical modeling. R is packed with powerful programming capabilities, but learning to use R in the real world can b....
Release Date 2012/07 -
R for Everyone: Advanced Analytics and Graphics
Author Jared P. Lander
Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other ProfessionalsUsing the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non....
Release Date 2013/12 -
R for Everyone: Advanced Analytics and Graphics, 2nd Edition
Author Jared P. Lander
Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other ProfessionalsUsing the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for no....
Release Date 2017/06 -
Author David Alexander Lillis
Use R's powerful graphing capabilities to design and create professional-level graphics In DetailR has undergone an explosion of popularity around the world. The wide range of graphs and options for creating high-impact visualizations makes R a highly effective too....
Release Date 2014/09 -
Author Winston Chang
This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, an....
Release Date 2012/12 -
R Graphics Cookbook, 2nd Edition
Author Winston Chang
This O’Reilly 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. Each recipe tackles a specific problem w....
Release Date 2018/11 -
Author Paul Murrell
Extensively updated to reflect the evolution of statistics and computing, the second edition of the bestselling R Graphics comes complete with new packages and new examples. Paul Murrell, widely known as the leading expert on R graphics, has developed an in-depth re....
Release Date 2018/11 -
Author Hrishi Mittal
Extend your capabilities with R and learn to present data in graphical form. This comprehensive guide is designed to help you produce professional quality graphs by providing practical exercises for you to complete.Learn to draw any type of graph or visual data repr....
Release Date 2011/01 -
R Graphs Cookbook Second Edition
Author Hrishi V. Mittal , Jaynal Abedin
Over 70 recipes for building and customizing publication-quality visualizations of powerful and stunning R graphs In DetailData visualization is one of the most important tasks in the data science track. Through effective visualization, we can easily uncover underly....
Release Date 2014/10 -
Author Joseph Adler
Why learn R? Because it's rapidly becoming the standard for developing statistical software. R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. You'll not only learn how to program in R, but ....
Release Date 2010/01 -
Author Joseph Adler
If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R pac....
Release Date 2012/10 -
Author Robert Kabacoff
SummaryR in Action is the first book to present both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, including the development environment. Focusing on practical solutions,....
Release Date 2011/08 -
R in Action, Second Edition: Data analysis and graphics with R
Author Robert Kabacoff
SummaryR in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incom....
Release Date 2015/05 -
Author Dr. Sunil Kumar Chinnamgari
Master a range of machine learning domains with real-world projects using TensorFlow for R, H2O, MXNet, and moreKey FeaturesMaster machine learning, deep learning, and predictive modeling concepts in R 3.5 Build intelligent end-to-end projects for finance, retail, ....
Release Date 2019/01 -
Author Kelly Black
A practical guide to help you learn and understand the programming techniques necessary to exploit the full power of R In DetailR is best suited to produce data and visual analytics through customizable scripts and commands, instead of typical statistical tools that....
Release Date 2014/10