Data Science using R

This comprehensive collection covers everything from the foundational basics to advanced techniques related to R Programming language. R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques and is highly extensible.

Creating your first R program

1. You can run an R program in many ways:
   

  i)   R environment directly in windows/Linux.
  ii)  Google Colab ( Change the language from Python to R in the runtime type under the Runtime tab)
  iii) Other online platforms include onlinegdb, programiz, etc.

2. Write your Hello World program

print("hello world")

3. Save it as an extension .R ( test.R)
4. Run it using the below Rscript test.R

Rscript test.R

Table of Contents

• Hello world
• Comment
• Variable Assign
• Constants
• Datatypes
• Array
• Matrix
• Relational Operator
• Arithematic Operator
• Logical Operator
• Vector
• List
• Factor
• Strings
• Substring
• Change Case
• String concat (paste)
• nchar
• Sequence
• Sequence Repeat
• Dataframe
• if
• if else
• if elseif
• for
• while
• Repeat loop
• In built Function
• User Defined Function
• Data Analysis

To be continued (Work in progress). If you want to add something, you are most welcome to do so.