R Programming by Sathyabama Institute of Science and Technolog
This book covers the history and fundamentals of R, guiding readers through installation and usage of R, R Studio, and R Shiny. Explore data manipulation, interfaces, and visualization, while mastering statistical modeling and machine learning. Real-world case studies offer practical insights into hypothesis generation, data exploration, and model building. This guide is your essential companion for mastering statistical computing and data science using R.
Author(s): Sathyabama Institute of Science and Technolog
151 Pages 
This PDF covers the following topics related to R Programming : Introduction, Basic Arithmetic and Objects , Data, Functions, Graphics, The apply Family of Functions, Arrays and Tables, Strings, Classes and Methods, Debugging, Arithmetic Subtleties, List of the Most Useful Functions in R.
Author(s): Robin Evans
82 Pages
R is the open-source statistical language that seems poised to take over the world of statistics and data science. R is really more than a statistical package - it is a language or an environment designed to produce statistical analysis and production of high quality graphics. This page covers the following topics related to R Programming : Introduction, RStudio, Basic R, Data I/O, Subsetting Data in R, Data Summarization, Data Classes, Data Cleaning, Manipulating Data in R, Data Visualization, Statistical Analysis in R, Functions, Simulations, RMarkdown, Shiny, Solutions to Exercises.
Author(s): Dr Robert Parker
NA Pages
