INTRODUCTION TO R

• What is R
• History of R
• Features of R
• SAS versus R
• S and S-plus
• Obtaining and managing R
• Installing R
• Packages
• R interfaces
• R Library

R objects and Data types

• Vector
• Matrix
• Array
• Factor
• List
• Data Frame
• Factors
• NA/NAN
• Explicit Coercion
• Lists
• Missing Value

WEEK-2

Inbuilt Functions of R>

• Environment functions
• Statistical Functions
• Text Functions
• Mathematical Functions
• Reading Data from R
• Writing Data into R
• Files connection

Control Structure of R

• If
• For
• Repeat
• While
• Next
• Return

Writing Functions in R

Loop Function of R

• Lappy
• Tappy
• Split
• Mappy
• Apply

Date and time in R

• Dates in R
• Time in R
• Operation on Dates and Time on R

Basic Graphs in R

• Creating a graph
• Density Plot
• Dot Plot
• Bar Plot
• Line Charts
• Pie Charts
• Box Plot
• Scatter Plot
• Histogram
• Normal QQ Plot

Advance Graphs in R

• Graphical Parameters
• Lattice Graphs
• Combining Plot
• Ggplots Graph
• Probability Graphs
• Correlograms
•  

Week-3

Statistics

• Measure of central Tendency
• Measure of Variances
• Probability distributions
• Advance Statistics

Predictive Modeling

• Simple Linear Regression
• Multiple Regression
• Logistic Regression
• Poisson Regression

Classification Methods

• Decision Tree Classifiers
• Bayesian Classifiers
• K-N-N Classifiers
•  

WEEK-4

Clustering techniques

• K Means
• PAM
• Hierarchical Clustering

Black Box Methods

• Artificial Neural Network
• Support Vector Machines

Time Series Analysis

• Autoregressive moving Average
• VAR
• GARCH