II Year - I Semester
STATISTICS WITH R PROGRAMMING
OBJECTIVE:
After taking the course, students will be able to
• Use R for statistical programming, computation, graphics, and modeling,
• Write functions and use R in an efficient way,
• Fit some basic types of statistical models
• Use R in their own research,
• Be able to expand their knowledge of R on their own.
SRP-Unit-1.pdfUNIT-I:
Introduction, How to run R, R Sessions and Functions, Basic Math, Variables, Data Types, Vectors, Conclusion, Advanced Data Structures, Data Frames, Lists, Matrices, Arrays, Classes.
SRP-Unit-2.pdfUNIT-II:
R Programming Structures, Control Statements, Loops, - Looping Over Nonvector Sets,- If-Else, Arithmetic and Boolean Operators and values, Default Values for Argument, Return Values, Deciding Whether to explicitly call return- Returning Complex Objects, Functions are Objective, No Pointers in R, Recursion, A Quicksort Implementation-Extended Extended Example: A Binary Search Tree.
SRP-Unit-3.pdfUNIT-III: Doing Math and Simulation in R, Math Function, Extended Example Calculating ProbabilityCumulative Sums and Products-Minima and Maxima- Calculus, Functions Fir Statistical Distribution, Sorting, Linear Algebra Operation on Vectors and Matrices, Extended Example: Vector cross Product- Extended Example: Finding Stationary Distribution of Markov Chains, Set Operation, Input /out put, Accessing the Keyboard and Monitor, Reading and writer Files,
SRP-Unit-4.pdfUNIT-IV: Graphics, Creating Graphs, The Workhorse of R Base Graphics, the plot() Function – Customizing Graphs, Saving Graphs to Files.
SRP-Unit-5.pdfUNIT-V: Probability Distributions, Normal Distribution- Binomial Distribution- Poisson Distributions Other Distribution, Basic Statistics, Correlation and Covariance, T-Tests,-ANOVA.
UNIT-VI: Linear Models, Simple Linear Regression, -Multiple Regression Generalized Linear Models, Logistic Regression, - Poisson Regression- other Generalized Linear Models-Survival Analysis, Nonlinear Models, Splines- Decision- Random Forests,
Exercise Programs in R
week1prac.pdfWeek-1
week2prac.pdfWeek-2
week3prac.pdfWeek-3
week4prac.pdfWeek-4
week5prac.pdfWeek-5
week6prac.pdfWeek-6