SYLLABUS

R PROGRAMMING 

UNIT-1: 

Introduction of the R language, numeric, arithmetic, assignment, and vectors, Matrices and Arrays, Non-numeric Values, Lists and Data Frames, Special Values, Classes, and Coercion, Basic Plotting.

UNIT-2:

Reading and writing files, Programming, Calling Functions, Conditions and Loops: stand-alone statement with illustrations in exercise 10.1,stacking statements, coding loops, Writing Functions, Exceptions, Timings, and Visibility.

UNIT-3:

Statistics And Probability, basic data visualization, probability, common probability distributions: common probability mass functions, Bernoulli, Binomial, Poisson distributions, common probability density functions, uniform, normal, student's t-distribution.

UNIT-4:

Statistical testing and modelling, sampling distributions, hypothesis testing, components of hypothesis test, testing means, testing proportions, testing categorical variables, errors and power, Analysis of variance.

UNIT-5:

Simple linear regression, multiple linear regression, linear model selection and diagnostics. Advanced graphics: plot customization, plotting regions and margins, point and click coordinate interaction, customizing traditional R plots, specialized text and label notation. Defining colors and plotting in higher dimensions, representing and using color. 3D scatter plots.