R PROGRAMMING LAB

Paper Code:

24MCA422A

Credits:

02

Periods/week:

04

Max. Marks:

100.00

Objective:

This course enables the students to

Implement programming concepts in R language
Experiment various functionalities through R programming.
Identify solution of given problem
Apply packages in solving problems.
Evaluate & choose efficient solution
Construct small application using R.

Course Outcomes:

Course

Learning Outcome (at course level)

Learning and teaching strategies

Assessment Strategies

Course Code

Course

Title

24MCA 422A

R Programming Lab

(Practical)

Examine various programming concepts in R language
Implement various functions using R
Analyze the problem and find right solution
Implement packages to design and program testing.
Understand data and file management using R.
Contribute effectively in course-specific interaction

Approach in teaching:

Interactive Lab Sessions,

Modeling, Discussions, implementing enquiry based learning, student centered approach

Learning activities for the students:

Experiential Learning, Discussions, Lab Assignments, Learning through Real life data centric problems

Lab Assignments
Practical Record
Continues Assessment
Semester End Examination

Contents

Fundamentals

Overview

Data Types

Decision Making

Loop control

Array

Array Introduction
String
String Introduction

Factor Introduction

Data Frames

Package Introduction

Data Reshaping

Data Reshaping Introduction

Data and File Management

Charts & Graphs

Data Analytics

Design and write efficient programs using R to perform routine and specialized data manipulation and analysis tasks using

Packages
Data Reshaping
Charts & Graphs

REFERENCES:

E- Resources

R-Tutorial by Tutorialspoint(https://www.tutorialspoint.com/r/index.htm)
R Tutorial by W3Schools(https://www.w3schools.com/r/)
Free R (programming language) Tutorial - Learn R Quickly (https://www.udemy.com/course/learn-r-quickly/)
How to Learn R Programming – Simplilearn (https://www.simplilearn.com/how-to-learn-r-programming-article)

Journals

The R Journal(https://journal.r-project.org/)
R and the Journal of Statistical Software(doaj.org)

Academic Year: