GETTING STARTED WITH R

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Getting Started With R

Author : Andrew P. Beckerman
ISBN : 9780191091933
Genre : Science
File Size : 50.82 MB
Format : PDF, ePub
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R is rapidly becoming the standard software for statistical analyses, graphical presentation of data, and programming in the natural, physical, social, and engineering sciences. Getting Started with R is now the go-to introductory guide for biologists wanting to learn how to use R in their research. It teaches readers how to import, explore, graph, and analyse data, while keeping them focused on their ultimate goals: clearly communicating their data in oral presentations, posters, papers, and reports. It provides a consistent workflow for using R that is simple, efficient, reliable, and reproducible. This second edition has been updated and expanded while retaining the concise and engaging nature of its predecessor, offering an accessible and fun introduction to the packages dplyr and ggplot2 for data manipulation and graphing. It expands the set of basic statistics considered in the first edition to include new examples of a simple regression, a one-way and a two-way ANOVA. Finally, it introduces a new chapter on the generalised linear model. Getting Started with R is suitable for undergraduates, graduate students, professional researchers, and practitioners in the biological sciences.
Category: Science

25 Recipes For Getting Started With R

Author : Paul Teetor
ISBN : 9781449303235
Genre : Computers
File Size : 37.56 MB
Format : PDF, Kindle
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R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression. You'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, performing simple linear regression, and many more. These solutions were selected from O'Reilly's R Cookbook, which contains more than 200 recipes for R that you'll find useful once you move beyond the basics.
Category: Computers

Getting Started With Rstudio

Author : John Verzani
ISBN : 9781449309039
Genre : Computers
File Size : 79.15 MB
Format : PDF, Docs
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Annotation Dive into the RStudio Integrated Development Environment for using & programming R, the open source software for statistical computing & graphics. This text provides new & experienced users with an overview of RStudio, as well as hands-on instructions for analyzing data, generating reports & developing R software packages.
Category: Computers

Getting Started With R For Data Science

Author : Richard Skeggs
ISBN : OCLC:1137160222
Genre :
File Size : 57.79 MB
Format : PDF, Docs
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"The R language is a powerful open source functional programming language. R is becoming the go-to tool for data scientists and analysts. Its growing popularity is due to its open source nature and extensive development community. This course will take you on a journey to become an efficient data science practitioner as you thoroughly understand the key concepts of R. Starting from the absolute basics, you will quickly be introduced to programming in R. You will see how to load data into R for analysis, and get a good understanding of how to write R scripts. We will delve into data types in R, and you'll gain the ability to read and write data to and from databases as well as files. You will also get to know how to perform basic analysis of the data. By the end of the course, you will know how data science can be applied in practical conditions."--Resource description page.
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Getting Started With Julia

Author : Ivo Balbaert
ISBN : 9781783284801
Genre : Computers
File Size : 69.40 MB
Format : PDF, ePub, Mobi
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This book is for you if you are a data scientist or working on any technical or scientific computation projects. The book assumes you have a basic working knowledge of high-level dynamic languages such as MATLAB, R, Python, or Ruby.
Category: Computers

Machine Learning Mastery With R

Author : Jason Brownlee
ISBN :
Genre : Computers
File Size : 38.57 MB
Format : PDF, ePub
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R has been the gold standard in applied machine learning for a long time. Surveys show that it is the most popular platform used by professional data scientists. It is also preferred by the best data scientists in the world. In this Ebook, learn how to get started, practice and apply machine learning using the R platform.
Category: Computers

A Beginner S Guide To R

Author : Alain Zuur
ISBN : 0387938370
Genre : Computers
File Size : 56.4 MB
Format : PDF, Docs
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Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and manage data, elementary plotting, an introduction to functions, advanced plotting, and common beginner mistakes. This book contains everything you need to know to get started with R.
Category: Computers

R In Action

Author : Robert Kabacoff
ISBN : 1935182390
Genre : Computers
File Size : 60.12 MB
Format : PDF, Mobi
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The ability to interpret and act on the massive amounts of information locked in web and enterprise systems is critical to success in the modern business economy. R, a free software environment for statistical computing and graphics, is a comprehensive package that empowers developers and analysts to capture, process, and respond intelligently to statistical information. R in Actionis 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, and then moves on to various examples illustrating R's features. Coverage includes data mining methodologies, approaches to messy data, R's extensive graphical environment, useful add-on modules, and how to interface R with other software platforms and data management systems.
Category: Computers

Getting Started With Machine Learning With R

Author : Tim Hoolihan
ISBN : OCLC:1137156849
Genre :
File Size : 30.13 MB
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"Machine learning is a subfield of computer science that gives computers the ability to learn without being explicitly programmed. It explores the study and construction of algorithms that can learn from, and make predictions on, data. The R language is widely used among statisticians and data miners to develop statistical software and perform data analysis. Machine Learning is a growing field that focuses on teaching computers to do work that was traditionally reserved for humans; it is a cross-functional domain that uses concepts from statistics, math, software engineering, and more. In this course you will start by organizing your data and then predicting it. Then you will work through various examples. The first example will demonstrate (using linear regression) predicting the murder arrest rate based on arrest data for a given State. Here you will explore R Studio and libraries, how to apply linear regression, how to score test sets, and plotting test results on a Cartesian plane. Then the next example will use logistic regression to predict for a classification problem on breast cancer: forecasting insurance types based on medical treatment. This example demonstrate labeling and scaling data, how cross-validation works, and how to apply Logistic regression. Finally you will move on the next example--automobile classification--where you will use the caret package in R to simplify some of these steps."--Resource description page.
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