R

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Course Outline

Module 1

Introduction to R

      • What is R?
      • What is S?
      • R features
      • Design of R
      • Limitations

Module 2

Data Types and Objects

      • Enter input
      • Evaluation
      • R Objects
      • Numbers
      • Attributes
      • Creating Vectors
      • Matrices
      • List
      • Factors
      • Missing Values, Data frames
      • Names

Module 3

Getting Data In and Out of R

      • Reading and writing data
      • Reading datafiles
      • Reading Large datasets
      • Calculating Memory Requirements
      • Textual and Binary format for storing data
      • Connections

Module 4

Subsetting of R Objects

      • Subsetting a Vector
      • Matix, List, Nested elements of list,
      • Extracting multiple elements of list
      • Removing NA values

Module 5

Vectorized Operations

      • Vectorized Operations
      • Date and Times

Module 6

Control Structures and Functions

      • Control statements and loop statements
      • Functions
      • Scoping rules of R
      • Loop Functions

Module 7

Regular Expression & Random Numbers

      • Regular Expression and Random Number Generation

Module 8

Implementation of Algorithm

      • Implementating the K-Means and Apriori Algorithm

Module 9

Data Visualization

      • Histogram
      • Line Chart
      • Bar Chart
      • PI Chart
      • Heat map
      • Hexbean Map
OBJECTIVE OF THE COURSE
REQUIREMENTS AND PREREQUISITES FOR THE COURSE
Outcome