Modern R Programming Cookbook by Jaynal Abedin
Requirements: ePUB Reader, 3.1 MB
Overview: Key Features
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
Book Description
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.
Genre: Computers & Technology > Programming
Download Instructions:
(Closed Filehost) https://suprafiles.org/zz1469l2xshq
(Closed Filehost) https://cloudyfiles.org/nc4csm5f4lud
Requirements: ePUB Reader, 3.1 MB
Overview: Key Features
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
Book Description
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.
Genre: Computers & Technology > Programming
Download Instructions:
(Closed Filehost) https://suprafiles.org/zz1469l2xshq
(Closed Filehost) https://cloudyfiles.org/nc4csm5f4lud