R Programming Tutorial App

Learn R Programming basics here. Get step-by-step tutorials, practice coding.

# What is R programming ?

- R is a programming language and software environment for statistical analysis, graphics representation and reporting. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland and is currently developed by the R Development Core Team.

# Why you should learn R programming ?

- R programming is latest and rapidly growing programming language now. Its highly using in data science and machine learning sectors. Its producing good numbers of jobs day by day.

- R programming is currently is in very good demand in job market and it will be in highly demand in near future.

- R programming easy to learn and code programming language.

- Its a fun job to code in R.

- You can get highly paid job with R programming skills.

# Why you should use this app too learn R coding ?

- Here it does not matter how much previous R coding or any other coding experience you have , you can start using this app as beginner learner too.

- We have developed this app to give you best learning platform of R.

- All the tutorials are well organized and easy to understand here.

- Here all R concepts are well explained with examples.

- You will get a good R practice programming examples.

# How this app will help you to learn R ?

- We will learn all thing basic to advance level.

- All the material is divided in four major parts.

1. Learn basic of R programming language

- R Overview

- R Environment Setup

- R Basic Syntax

- R Data Types

- R Variables

- R Operators

- R Decision making

- R Loops

- R Functions

- R Strings

- R Vectors

- R Lists

etc....

2. Learn advance of R programming language

- R CSV Files

- R Excel File

- R Binary Files

- R XML Files

- R JSON Files

- R Web Data

- R Databases

- R Pie Charts

etc....

3. learn statistics of R programming language

- R Mean, Median and 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

etc....

4. interview questions of R programming language

5. R Programming practice examples with output.

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our references :

# www.tutorialspoint.com

# www.iconfinder.com