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Learn Programming Language R Save

Introduction to R Programming

Overview of R
Installation and setup
Basic syntax and commands

Data Types and Structures in R

Vectors and lists
Matrices and arrays
Data frames and factors

Data Manipulation in R

Subsetting data
Data transformation with dplyr
Handling missing data

Data Visualization with R

Introduction to ggplot2
Creating plots and graphs
Customizing visualizations

Programming and Functions

Writing functions in R
Control structures
Debugging and error handling

Statistical Analysis with R

Descriptive statistics
Hypothesis testing
Regression analysis

Applications and Projects

Building a data analysis project
Creating interactive reports with RMarkdown
Introduction to Shiny for web applications

Descriptive statistics provide essential summaries and insights into datasets. This subtopic focuses on techniques for calculating and interpreting descriptive statistics in R, which are foundational for further statistical analysis.

Descriptive Statistics in R

Describe and Summarise your data

Calculating Descriptive Statistics of Data in R

Introduction to R Programming

Data Types and Structures in R

Data Manipulation in R

Data Visualization with R

Programming and Functions

Statistical Analysis with R

Applications and Projects