Modern R Programming Cookbook (eBook)
236 Seiten
Packt Publishing (Verlag)
978-1-78728-877-5 (ISBN)
Recipes for emerging developers in R programming and data scientists to simplify their R programming capabilities
About This Book
- Develop strategies to speed up your R code
- Tackle programming problems and explore both functional and object-oriented programming techniques
- Learn how to address the core problems of programming in R with the most popular R packages for common tasks
Who This Book Is For
This book is for developers who would like to enhance the R programming skills. Basic knowledge of R programming is assumed.
What You Will Learn
- Install R and its various IDE for a given platform along with installing libraries from different repositories and version control
- Learn about basic data structures in R and how to work with them
- Write customized R functions and handle recursions, exceptions in R environments
- Create the data processing task as a step by step computer program and execute using dplyr
- Extract and process unstructured text data
- Interact with database management system to develop statistical applications
- Formulate and implement parallel processing in R
In Detail
R is a powerful tool for statistics, graphics, and statistical programming. It is used by tens of thousands of people daily to perform serious statistical analyses. It is a free, open source system whose implementation is the collective accomplishment of many intelligent, hard-working people. There are more than 2,000 available add-ons, and R is a serious rival to all commercial statistical packages. The objective of this book is to show how to work with different programming aspects of R. The emerging R developers and data science could have very good programming knowledge but might have limited understanding about R syntax and semantics. Our book will be a platform develop practical solution out of real world problem in scalable fashion and with very good understanding. You will work with various versions of R libraries that are essential for scalable data science solutions. You will learn to work with Input / Output issues when working with relatively larger dataset. At the end of this book readers will also learn how to work with databases from within R and also what and how meta programming helps in developing applications.
Style and approach
This book will be a companion for R programmer and emerging developers in R programming areas. This book will contain recipes related to advanced R programming which will enable users to solve complex problems efficiently.
Recipes for emerging developers in R programming and data scientists to simplify their R programming capabilitiesAbout This BookDevelop strategies to speed up your R codeTackle programming problems and explore both functional and object-oriented programming techniquesLearn how to address the core problems of programming in R with the most popular R packages for common tasksWho This Book Is ForThis book is for developers who would like to enhance the R programming skills. Basic knowledge of R programming is assumed.What You Will LearnInstall R and its various IDE for a given platform along with installing libraries from different repositories and version controlLearn about basic data structures in R and how to work with themWrite customized R functions and handle recursions, exceptions in R environmentsCreate the data processing task as a step by step computer program and execute using dplyrExtract and process unstructured text dataInteract with database management system to develop statistical applicationsFormulate and implement parallel processing in RIn DetailR is a powerful tool for statistics, graphics, and statistical programming. It is used by tens of thousands of people daily to perform serious statistical analyses. It is a free, open source system whose implementation is the collective accomplishment of many intelligent, hard-working people. There are more than 2,000 available add-ons, and R is a serious rival to all commercial statistical packages. The objective of this book is to show how to work with different programming aspects of R. The emerging R developers and data science could have very good programming knowledge but might have limited understanding about R syntax and semantics. Our book will be a platform develop practical solution out of real world problem in scalable fashion and with very good understanding. You will work with various versions of R libraries that are essential for scalable data science solutions. You will learn to work with Input / Output issues when working with relatively larger dataset. At the end of this book readers will also learn how to work with databases from within R and also what and how meta programming helps in developing applications.Style and approachThis book will be a companion for R programmer and emerging developers in R programming areas. This book will contain recipes related to advanced R programming which will enable users to solve complex problems efficiently.
Erscheint lt. Verlag | 10.10.2017 |
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Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge |
ISBN-10 | 1-78728-877-3 / 1787288773 |
ISBN-13 | 978-1-78728-877-5 / 9781787288775 |
Haben Sie eine Frage zum Produkt? |
Größe: 3,1 MB
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