Numeric, Arithmetic, Assignment, and Vectors:
R for Basic Math, Arithmetic, Variables, Functions, Vectors, Expressions and assignments Logical expressions.
Textbook 1: Chapter 2(2.1 to 2.7)
Matrices and Arrays:
Defining a Matrix, Sub-setting, Matrix Operations, Conditions and Looping: if statements, looping with for, looping with while, vector based programming.
Textbook 1: Chapter 2- 2.8, chapter 3- 3.2 to 3.5
Lists and Data Frames:
Data Frames, Lists, Special values, The apply facmily.
Textbook 1: Chapter 6- 6.2 to 6.4
Functions:
Calling functions, scoping, Arguments matching, writing functions: The function command, Arguments, specialized function.
Textbook 1: Chapter 5- 5.1 to 5.6
Pointers:
packages, frames, de bugging, manipulation of code, compilation of the code.
Textbook 1: Chapter 8- 8.1 to 8.8 Teaching-Learning Process Chalk and board, MOOC
Course Outcomes (Course Skill Set):
At the end of the course the student will be able to:
CO 1. To understand the fundamental syntax of R through readings, practice exercises,
CO 2. To demonstrations, and writing R code.
CO 3. To apply critical programming language concepts such as data types, iteration,
CO 4. To understand control structures, functions, and Boolean operators by writing R programs and through examples
CO 5. To import a variety of data formats into R using R-Studio
CO 6. To prepare or tidy data for in preparation for analyze.
Assessment Details (both CIE and SEE)
Continuous Internal Evaluation (CIE):
NOTE: List of experiments to be prepared by the faculty based on the syllabus mentioned above CIE marks for the practical course is 50 Marks.
The split-up of CIE marks for record/ journal and test are in the ratio 60:40.
The Sum of scaled-down marks scored in the report write-up/journal and average marks of two tests is the total CIE marks scored by the student.
Semester End Evaluation (SEE):
Rubrics suggested in Annexure-II of Regulation book
Textbooks
1. Jones, O., Maillardet. R. and Robinson, A. (2014). Introduction to Scientific Programming and Simulation Using R. Chapman & Hall/CRC, The R Series.
References:
1. Michael J. Crawley, “Statistics: An Introduction using R”, Second edition, Wiley,2015