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The R Project for Statistical Computing

R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.

Duration: 16 Hours

The R tool is an open sourced framework which grew as a result of a strong push by Google. Today, R is poised to overtake SAS as the most widely used tool in statistical analyses and with over 20,000 packages currently available, it has near limitless potential for business application.

Module 1: Basic R tool programming

    R environment and Windows system
    R Objects, Data permanency and removing objects
    R Help and search with Functions
    R commands and Case sensitivity
    Data Import and Export
    Packages
    R Studio Installation
    Simple Manipulations : Numbers and Vectors
    Writing your own functions

Module 2: Advanced Applications of R

    Data Manipulation: merging, sorting, filtering, de-duping
    User defined functions
    Visualizations: histogram, bar plot, box plot, mosaic plots, geographic plots, etc
    TM package
    Word cloud Package

Module 3: Hands on

    In Class Project
    Students do independent research
    Build your first sentiment analysis algorithm
    Combine solutions of students to showcase a final project
The R Project for Statistical Computing The R Project for Statistical Computing Reviewed by Barakar John on 2:15 AM Rating: 5
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