R Programming
  • Introduction
  • Spark R
    • Why use SparkR
    • Features
  • R Studio
    • keyboard shortcut keys
  • References
  • Getting Help
  • Vocabulary
  • Operator Syntax and Precedence
  • Designing Interactive Course
  • Functions
    • Masked Functions
    • call by reference
  • Exception Handling
  • attach function
  • Environments and Scoping
  • Original R Lang Reference
  • Class Vs typedef
  • Formulas
  • DPLYR
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References

Books

R In Nutshell

2.15

2012

R Succintly

3.0.3

2014

Learning R

2013

R In Action

2011

R In 24 hours

3.2.2

2016

Introduction to R

2.7

2010

Testing R

2017

25 receipes for getting started R

2011

A Beginners Guide to R

2.7.1

A Practical Guide to Using R RStudio

2017

An-Introduction-to-Statistical-Learning-with-Applications-in-R

2014

Beginning R

2.8

2012

R For Dummies

2.13

Advanced R

2015

R Quick Syntax Reference-Apress

2014

R Recipes_ A Problem-Solution Approach-Apress (2014)

3.1

2014

R-for-Data-Science-Import-Tidy-Transform-Visualize-and-Model-Data

3.3.1

2017

RStudio for R Statistical Computing Cookbook_ Over 50 practical

2016

RNotesForProfessionals

3.3.2

2017

The Book of R_ A First Course in Programming and Statistics-No Starch Press (2016)

3.2.2

2016

The R Book

2007

The-Art-of-R-Programming-A-Tour-of-Statistical-Software-Design

2.10

2011

Thomas Mailund - Beginning Data Science in R_ Data Analysis, Visualization, and Modelling for the Data Scientist-Apress (2017)

2017

Using-R-and-RStudio-for-Data-Management-Statistical-Analysis-and-Graphics

2015

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