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Examples of Programming (CH_30)

Bivariate and Three dimensional plots (CH_30)

Statistical Functions - Boxplots, Skewness and Kurtosis (CH_30)

Data Handling - Importing Data Files from Other software (CH_30)

Statistical Functions : Frequency and Partition values (CH_30)

Statistical Functions : Graphics and Plots (CH_30)

Statistical Functions - Central Tendency and Variation (CH_30)

Examples of More Programming

Strings -Display and Formating, Paste function

Strings - Display and Formatting , Print and Format with Concatenate

Strings - Display and Formatting , Print and Format Functions

Data Management - Factors (continued)

Data Management - (Factors)

Vector Indexing (continued)

Data Management - Vector Indexing

Data Management - Lists (continued)

Data Management - Lists

Data Management - Sorting and Ordering

Data Management Repeats

Data Management Sequences

Basic Calculations : Conditional executions and loops

Basic Calculations : Truth table and conditional executions

Basic Calculations : Logical Operators

Basic calculations : Missing data and logical operators

Basic calculations : Matrix Operations

Functions and Matrices

R as calculator, Built in functions and Assignment

Basics of calculations , Basics and R as a calculator

Introduction command line, Data Editor and R studio

Introduction Help demo examples packages libraries

Why R and installation procedure

Description:

Learn the fundamentals of R programming in this comprehensive 16-hour course. Explore data handling, statistical functions, and visualization techniques. Master vector indexing, list management, and matrix operations. Dive into conditional executions, loops, and logical operators. Practice with real-world examples and gain hands-on experience in data importing, sorting, and formatting. Discover R's powerful built-in functions and learn to create custom functions. Utilize R Studio and command-line interfaces for efficient coding. By the end of the course, develop proficiency in R for data analysis, statistical computing, and graphical representation.

Introduction to R Software

NIOS

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#Programming #Domain-Specific Languages (DSL) #R Programming #Data Science #Data Analysis #Data Visualization #Mathematics #Algebra #Linear Algebra #Matrices