KNow me! R

Zulquar Nain
AMU

January 20, 2025

Welocme


  • Intro 👋
  • Welcome 📈
  • Installation 🔧
  • Help 🚑
  • Sir ! 👀

Introduction

What is R? & Why?

Evolution of R Programming

  • R is a powerful tool for statistical computing and graphics, widely used in academia and industry for data analysis, statistical modeling, and visualization.
  • R language developed by Ross Ihaka and Robert Gentleman in 1990
  • R shows its first appearance in the year 1993
  • R language along with the software, developed by the group of people known as `R Core Team.’
  • For more details click HERE

What is R? & Why?

Advantages of R programming

  • Open Source
    • Open source software system. It is freely available
    • NO FREE LUNCH?
  • Cross-Platform Compatibility
  • Advance Statistical Language
  • Outstanding Graphics

What is R? & Why?

Advantages of R programming II

  • Flexible and Fun
    • R is very flexible to work with it. It has a very user-friendly interface.
  • Extremely Comprehensive
    • R offers powerful packages for statistical analysis, enabling complex data operations and professional-level analytics.

What is R? & Why?

Advantages of R programming III

  • Supports Extensions
    • To provide advanced features R extended with multiple extensions. The r core team is developing R and extended the R by adding new Packages to it.
  • Vast Community
    • R has a broad community of online users. As the popularity of R increases, the energetic, vibrant users clubbed with this community.
  • Integration with other languages
    • R integrates well with other programming languages like C++, Java, and Python, enhancing its functionality and flexibility.

What is R? & Why?

Applications of R Programming

What is R? & Why?

Applications of R programming II

  • Finance
    • JP Morgan: Uses R for risk analysis and predictive analytics.
    • Example: Assessing credit risk based on customer data using logistic regression models.
  • Healthcare
    • Pfizer: Utilizes R for drug discovery and clinical trial data analysis.
    • Example: Analyzing patient response data to determine drug efficacy.
  • E-Commerce
    • Amazon: Implements R for customer purchasing patterns and recommendation systems.
    • Example: Using clustering algorithms to segment customers and personalize marketing strategies.
  • Sports Analytics
    • ESPN: Applies R to analyze player performance and game statistics to enhance broadcasting insights.
    • Example: Predictive modeling of player injuries and performance trends.
  • Academia
    • Universities and research institutions globally use R for statistical research, teaching, and data analysis.
    • Example: Econometric analysis of economic trends and policy impacts.
  • Technology
    • Google: Employs R for advertising effectiveness and algorithm refinement.
    • Example: Analyzing user interaction data to optimize ad placement and content.

Learning R

  • Learning by doing
  • At the beginning it’s hard, but later it pays off

Learning R

  • Learning by doing
  • At the beginning it’s hard, but later it pays off

What can be done using R?

Who can learn?

Let’s Start

Let’s Start

Installation

Let’s Start

Plain R user interface with some text entered

Let’s Start

R-Studio

Let’s Start

You can work directly in R, but a graphical interface is more convenient. One of most popular/useful is RStudio, an integrated development environment (IDE)

  • a console

  • a powerful code/script editor featuring

  • special tools for plotting, viewing R objects and code history

  • cheatsheets for R programming

  • tab-completion for object names and function arguments

Installation of R-studio

  • STEP1: Go to the website https://posit.co/
  • STEP2: Download and install Rstudio on your system

Lets Start

R-studio Overview

Lets Start

R-studio Overview

Gettin help- Inside R

  • help("apply") # get help for the function
  • ?apply # The same. saves typing effort.
  • Press F1 while the cursor is at a command.
  • ?read.table
  • help.search(“data input”)# search by specific subject
  • find(“package name”)# Tells about the package
  • help.start() # html help Manuals, Material, search engine

Getting Help-Outside R

Books and Online Resources

Last Message



Questions?



THANKS



🏃