Data Science with R Programming

Overview

History of R Programming

Advantages and disadvantages

Downloading and installing

Introduction

Using the R console

Learning about the environment

Writing and executing scripts

Object oriented programming

Installing packages

Working directory

Saving your work

Variable Types And Data Structures

Variables and assignment

Data types

Numeric, character, boolean, and factors

Data structures

Vectors, matrices, arrays,

Assigning new values

Viewing data and summaries

Base Graphics System In R

Scatterplots, histograms, barcharts, box and whiskers, dotplots

Labels, legends, titles, axes

Exporting graphics to different formats

General linear regression

Linear and logistic models

Regression plots

Interaction in regression