R Programming Complete Tutorial

• Exploring R Programming

• Exploring R

• Evolution of R

• Programming Features of R

• R for Machine Learning

• R for Data Analysis

• Application of R

• R vs. Python vs. SAS

• R vs. Excel vs.Tableau

• Installation of R

• Install R base on Windows

• Install R Studio on Windows

• Install R base on Ubuntu

• Install R Studio on Ubuntu

• R Starter

• R Starter

• First R Program

• Working with R Packages

• R Workplace and R Sessions

• Manage working directory

• Customize R studio

• RStudio Debugger

• RStudio History and Environment variables

• R Programming Start-Up

• R Syntax

• R Variables

• R Data Types & Structures

• R Arithmetic Operators

• R Logical Operators

• R If Statement

• R - If…Else Statement

• If…else if…Else Statement

• R for loop

• R while loop

• R repeat loop

• R String Construction

• R String Manipulation Functions

• Creating Character Strings

• R Functions

• R built-in functions

• Data Handling

• Working with Vector

• R Vector Indexing

• R Vector Modification

• R Arithmetic Vector Operations

• R Lists

• Access List elements (List Slicing)

• List modification

• R Matrix construction

• Access Matrix elements

• R Matrix Modification

• R Matrix Operations

• R Array Construction

• Accessing Array Elements

• Manipulating Array Elements

• R Data Frames

• Data Extraction

• Data Frame Expansion

• R Built-in Data frames

• R Factors

• Manage Factor levels

• Factor Functions

• R Contingency Tables

• Manage Data From External Files

• Export-Import CSV file

• Import data from CSV file

• Export data to CSV file

• Data Visualization

• R Data Visualization

• R – Charts and Graphs

• R Density Plot

• R Strip Charts

• R Boxplots

• R Violin Plots

• R Bar Charts

• R Pie Charts

• R Area Plots

• R Time Series

• Use of Graphics With ggplot

• Graphics with ggplot2

• Ggplot2 Structure

• ggplot2 Bar Charts

• ggplot2 Pie Chart

• ggplot2 Area Plot

• ggplot2 Histogram

• ggplot2 Scatter Plot

• ggplot2 Box Plot

• Statistical Analysis

• Mean & Median

• Standard Deviation

• Normal Distribution

• Correlation

• T-Tests

• Chi-Square Test

• ANOVA Test

• Survival Analysis

• Data Pre-Processing

• Data Pre-processing and Missing Value Analysis

• Missing data treatment

• Missing value analysis with mice package

• Outlier Analysis

• Problems with outliers

• Outlier Detection

• Outlier Treatment

• Machine Learning with R

• Simple Linear Regression

• Mathematical Computation

• Linear Regression in R

• A complete Simple Regression Analysis

• Multiple Linear Regression

• Mathematical Analysis

• Model Interpretation

• A complete Multiple Regression Analysis

• Logistic Regression

• Mathematical Computation in R

• Logistic Regression in R

• Heart Risk Analysis using LR

• Support Vector Machine

• Heart Risk Analysis using SVM

• Decision Trees

• Random Forest

• K means Clustering

• Big data Analytics using R-Hadoop

• Big data Analytics using R-Hadoop

• RHADOOP Packages:

• rJava: Low-Level R to Java Interface

• rhdfs: Integrate R with HDFS

• rmr2: MapReduce job in R

• plyrmr: Data Manipulation with MapReduce job

• rhbase: Integrate HBase with R

• Environment setup for RHADOOP

• Getting Started with RHADOOP




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