R Tutorial – Learn R programming language

R Tutorial

We present you the R Tutorial, to learn R, the basics of R programming language, interfacing data to R from different data sources, creating charts and graphs, and extracting statistical information.

What is R programming language ?

R is an open source programming language. It has become one of the powerful choices for statistical analysis. R helps you to get big picture of your data by calculating statistical parameters like mean, standard deviation, correlation etc.

Features of R

• Open Source and Free to use.
• Works well for statistics.
• Command-Line Programming Language – But IDEs like R Studio and plugins to the popular IDEs like Eclipse, etc., are available.
• Easy sharing of Results or Analysis.
• Integration with other packages and programming languages.
• R programming is easy and informative.

R Tutorial Index

In our R Tutorial, we shall take you through the following topics :

• R Installation on Windows
• R Script File Basic Syntax – Understanding the basic syntax of R commands and R script file.
• R Data Types – Learn R basic data types with examples.
• R Variables – Learn R variables, rules followed to name a variable, commands to list down all the variables in the scope or delete any of them if necessary. Also learn the ways to assign a value to R Variable.
• R Operators – Learn R Operators : R Arithmetic Operators, R Relational Operators, R Logical Operators, R Assignment Operators, R Miscellaneous Operators with example R scripts.
• R Decision Making Statements
  • R if
  • R if-else
  • R else-if
  • R switch
• R Loops
  • R repeat loop
  • R while loop
  • R for loop
  • R break statement
• R Functions
• R Strings
  • Concatenate two or more Strings in R
  • Find length of String in R
  • Extract Substring from a String in R 
• R Vectors
• R Lists
• R Matrices
• R Arrays
• R Factors
• R Data Frames
  • Sort R Data Frame by Column
  • For each row in an R Data Frame
• R Packages
• R Data Reshaping

Data Interfacing – from different sources of data to R language

• R CSV Files  – Learn R functions to read CSV Files, analyze or filter data read from CSV Files, and write back filtered data to CSV Files.
• R Excel Files
• R Binary Files
• R XML Files
• R JSON Files
• R Web Data
• R Database

Charts, Plots & Graphs – R Tutorial

• R Pie Charts 
• R Bar Charts
• R Boxplots
• R Histograms
• R Line Graphs 
• R Scatterplots

Statistical Analysis

• R Mean of a Vector 
• R Median of a Vector 
• R Mode
• R Linear Regression
• R Multiple Regression
• R Logistic Regression
• R Normal Distribution
• R Binomial Distribution
• R Poisson Regression
• R Analysis of Covariance
• R Time Series Analysis
• R Nonlinear Least Square
• R Decision Tree
• R Random Forest
• R Survival Analysis
• R Chi Square Tests

Conclusion :

With this R Tutorial, we have learnt the basics of R, how to interface data to R from different sources, create charts and graphs, and extract statistical information.

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