JNTU-K B.TECH R-19 IT 3-1 Syllabus For R programming PDF 2022
February 15, 2022 2022-02-15 21:30JNTU-K B.TECH R-19 IT 3-1 Syllabus For R programming PDF 2022
JNTU-K B.TECH R-19 IT 3-1 Syllabus For R programming PDF 2022
cynohub_admin Get Complete Lecture Notes for R programming on Cynohub APP
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You will be able to find information about R programming along with its Course Objectives and Course outcomes and also a list of textbook and reference books in this blog.You will get to learn a lot of new stuff and resolve a lot of questions you may have regarding R programming after reading this blog. R programming has 5 units altogether and you will be able to find notes for every unit on the CynoHub app. R programming can be learnt easily as long as you have a well planned study schedule and practice all the previous question papers, which are also available on the CynoHub app.
All of the Topic and subtopics related to R programming are mentioned below in detail. If you are having a hard time understanding R programming or any other Engineering Subject of any semester or year then please watch the video lectures on the official CynoHub app as it has detailed explanations of each and every topic making your engineering experience easy and fun.
R programming Unit One
UNIT 1
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.
R programming Unit Two
UNIT 2
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.
Get Complete Lecture Notes for R programming on Cynohub APP
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R programming Unit Three
UNIT 3
Doing Math and Simulation in R, Math Function, Extended Example Calculating Probability-Cumulative 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.
R programming Unit Four
UNIT 4
Graphics, Creating Graphs, The Workhorse of R Base Graphics, the plot() Function –Customizing Graphs, Saving Graphs to Files.
R programming Unit Five
UNIT 5
Probability Distributions, Normal Distribution-Binomial Distribution-Poisson Distributions Other Distribution, Basic Statistics, Correlation and Covariance, T-Tests,-ANOVA. 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.
R programming Course Objectives
After taking the course, students will be able to Use R for statistical programming, computation, graphics, and modelingWrite functionsand use R in an efficient wayFit some basic types of statistical models Use R in their own researchBe able to expand their knowledge of R on their own
R programming Course Outcomes
At the end of this course, students will be able to: Demonstrationand implement of basic R programming framework and data structuresExplain critical R programming language concepts such as control structures and recursion Applying mathematical and statistical operations data structures in R Examine data-sets to create testable hypotheses and identify appropriate statistical tests Make use ofappropriate statistical tests using R and Create and edit visualizations with regression models Definemodel choices and results
R programming Text Books
1)The Art of R Programming, Norman Matloff, Cengage Learning 2)R for Everyone, Lander, Pearson
R programming Reference Books
1)R Cookbook, PaulTeetor, Oreilly. 2)R in Action,Rob Kabacoff, Manning
Scoring Marks in R programming
Scoring a really good grade in R programming is a difficult task indeed and CynoHub is here to help!. Please watch the video below and find out how to get 1st rank in your B.tech examinations . This video will also inform students on how to score high grades in R programming. There are a lot of reasons for getting a bad score in your R programming exam and this video will help you rectify your mistakes and help you improve your grades.
Information about JNTU-K B.Tech R-19 R programming was provided in detail in this article. To know more about the syllabus of other Engineering Subjects of JNTUH check out the official CynoHub application. Click below to download the CynoHub application.
Get Complete Lecture Notes for R programming on Cynohub APP
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