The need for data analysis is increasing day by day, Harvard Business Review (HBR) states that "Data Scientist: The sexiest job of the 21st century", there are many statistical analysis software's available in the market today, which are very expensive and not user friendly.This book 'R' Made Simple (R Basics) is written for the beginners to make them get acquainted with R environment, give insights on R data structures, realize the power of graphics, and introduce basic programming experience in R. This book is written in simple and lucid style, contents are presented in a most meticulous manner.R is open source, state of art statistical software more widely available, it is a powerful computer software environment for statistical analysis, graphics, data analysis, and data modelling. The next volume is 'R' Made Simple (R Advanced) covers descriptive statistics, parametric test, non-parametric test, business relations, predictive modelling, and comparison of data
This rhyming ABC Easter story takes kids on a journey from Palm Sunday to the Resurrection to the Great Commission. Jesus is the RISEN One, our Savior and our Friend.Jesus is the A and Z, the beginning and the end.In this charmingly illustrated story, children will learn the alphabet and the biblically accurate reason for the season: Jesus' resurrection Unlike other ABC books that attribute a random Easter-themed word to a letter, R Is for Risen thoughtfully tells the chronological Easter story of salvation. It features: Palm branch parade (Jesus' arrival in Jerusalem) Garden of Gethsemane Jesus' arrest and interrogation Jesus carrying the cross Jesus' death and resurrection Jesus' Great CommissionIncludes: Short, easy-to-read, rhyming text Chronological Bible Easter story Colorful, endearing illustrations A Bible verse reference on each page (NLT, ICB, NIrV, or GW) This alphabet book is sure to become a family classic parents will read to their children every Easter.
R. L. Stine has written hundreds of children's books, including the scary, creepy Goosebumps series. His books have inspired TV shows and movies. Learn more about Stine's life as a famous writer
R. L. Stine has written hundreds of children's books, including the scary, creepy Goosebumps series. His books have inspired TV shows and movies. Learn more about Stine's life as a famous writer
Robert Crumb (b. 1943) read widely and deeply a long roster of authors including Robert Louis Stevenson, Charles Dickens, J. D. Salinger, Jack Kerouac, William S. Burroughs, and Allen Ginsberg, as well as religious classics including biblical, Buddhist, Hindu, and Gnostic texts. Crumb's genius, according to author David Stephen Calonne, lies in his ability to absorb a variety of literary, artistic, and spiritual traditions and incorporate them within an original, American mode of discourse that seeks to reveal his personal search for the meaning of life. R. Crumb: Literature, Autobiography, and the Quest for Self contains six chapters that chart Crumb's intellectual trajectory and explore the recurring philosophical themes that permeate his depictions of literary and biographical works and the ways he responds to them through innovative, dazzling compositional techniques. Calonne explores the ways Crumb develops concepts of solitude, despair, desire, and conflict as aspects of the quest for self in his engagement with the book of Genesis and works by Franz Kafka, Jean-Paul Sartre, the Beats, Charles Bukowski, and Philip K. Dick, as well as Crumb's illustrations of biographies of musicians Jelly Roll Morton and Charley Patton. Calonne demonstrates how Crumb's love for literature led him to attempt an extremely faithful rendering of the texts he admired while at the same time highlighting for his readers the particular hidden philosophical meanings he found most significant in his own autobiographical quest for identity and his authentic self.
Robert Crumb (b. 1943) read widely and deeply a long roster of authors including Robert Louis Stevenson, Charles Dickens, J. D. Salinger, Jack Kerouac, William S. Burroughs, and Allen Ginsberg, as well as religious classics including biblical, Buddhist, Hindu, and Gnostic texts. Crumb's genius, according to author David Stephen Calonne, lies in his ability to absorb a variety of literary, artistic, and spiritual traditions and incorporate them within an original, American mode of discourse that seeks to reveal his personal search for the meaning of life. R. Crumb: Literature, Autobiography, and the Quest for Self contains six chapters that chart Crumb's intellectual trajectory and explore the recurring philosophical themes that permeate his depictions of literary and biographical works and the ways he responds to them through innovative, dazzling compositional techniques. Calonne explores the ways Crumb develops concepts of solitude, despair, desire, and conflict as aspects of the quest for self in his engagement with the book of Genesis and works by Franz Kafka, Jean-Paul Sartre, the Beats, Charles Bukowski, and Philip K. Dick, as well as Crumb's illustrations of biographies of musicians Jelly Roll Morton and Charley Patton. Calonne demonstrates how Crumb's love for literature led him to attempt an extremely faithful rendering of the texts he admired while at the same time highlighting for his readers the particular hidden philosophical meanings he found most significant in his own autobiographical quest for identity and his authentic self.
Unlike other books about R, written from the perspective of statistics, R for Programmers: Mastering the Tools is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quickly understand R. The contents are divided into four sections: The first section consists of the basics of R, which explains the advantages of using R, the installation of different versions of R, and the 12 frequently used packages of R. This will help you understand the tool packages, time series packages, and performance monitoring packages of R quickly.The second section discusses the server of R, which examines the communication between R and other programming languages and the application of R as servers. This will help you integrate R with other programming languages and implement the server application of R. The third section discusses databases and big data, which covers the communication between R and various databases, as well as R’s integration with Hadoop. This will help you integrate R with the underlying level of other databases and implement the processing of big data by R, based on Hadoop.The fourth section comprises the appendices, which introduce the installation of Java, various databases, and Hadoop. Because this is a reference book, there is no special sequence for reading all the chapters. You can choose the chapters in which you have an interest. If you are new to R, and you wish to master R comprehensively, simply follow the chapters in sequence.
This book discusses advanced topics such as R core programing, object oriented R programing, parallel computing with R, and spatial data types. The author leads readers to merge mature and effective methdologies in traditional programing to R programing. It shows how to interface R with C, Java, and other popular programing laguages and platforms.
After the fundamental volume and the advanced technique volume, this volume focuses on R applications in the quantitative investment area. Quantitative investment has been hot for some years, and there are more and more startups working on it, combined with many other internet communities and business models. R is widely used in this area, and can be a very powerful tool. The author introduces R applications with cases from his own startup, covering topics like portfolio optimization and risk management.
This book provides an introduction to R programming and a summary of financial mathematics.It is not always easy for graduate students to grasp an overview of the theory of finance in an abstract form. For newcomers to the finance industry, it is not always obvious how to apply the abstract theory to the real financial data they encounter. Introducing finance theory alongside numerical applications makes it easier to grasp the subject.Popular programming languages like C++, which are used in many financial applications are meant for general-purpose requirements. They are good for implementing large-scale distributed systems for simultaneously valuing many financial contracts, but they are not as suitable for small-scale ad-hoc analysis or exploration of financial data. The R programming language overcomes this problem. R can be used for numerical applications including statistical analysis, time series analysis, numerical methods for pricing financial contracts, etc.This book provides an overview of financial mathematics with numerous examples numerically illustrated using the R programming language.
Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems frequently encountered by new users of this statistical software. This new edition adds coverage of R Studio and reproducible research.
This third edition of Paul Murrell’s classic book on using R for graphics represents a major update, with a complete overhaul in focus and scope. It focuses primarily on the two core graphics packages in R - graphics and grid - and has a new section on integrating graphics. This section includes three new chapters: importing external images in to R; integrating the graphics and grid systems; and advanced SVG graphics.The emphasis in this third edition is on having the ability to produce detailed and customised graphics in a wide variety of formats, on being able to share and reuse those graphics, and on being able to integrate graphics from multiple systems.This book is aimed at all levels of R users. For people who are new to R, this book provides an overview of the graphics facilities, which is useful for understanding what to expect from R's graphics functions and how to modify or add to the output they produce. For intermediate-level R users, this book provides all of the information necessary to perform sophisticated customizations of plots produced in R. For advanced R users, this book contains vital information for producing coherent, reusable, and extensible graphics functions.
