Welcome to the R Programming documentation section! R is a powerful programming language and environment for statistical computing and graphics. It is widely used among statisticians and data miners for developing statistical software and data analysis.
Quick Start
Here are some quick points to get you started with R:
- Installation: Download and install R from the official website.
- IDE: Choose an Integrated Development Environment (IDE) like RStudio for a better coding experience.
- Basic Syntax: Learn the basic syntax and data types in R.
- Help: Use
help()
function to get information about functions and packages.
Tutorials
Getting Started
- Introduction to R: Learn the basics of R
- Data Types: Understand different data types in R
Data Analysis
- Data Manipulation: Learn about data manipulation with dplyr
- Statistical Analysis: Explore statistical analysis with base R
Graphics
- Base Graphics: Create basic plots with base R graphics
- ggplot2: Learn about the powerful ggplot2 package for data visualization
Machine Learning
- Machine Learning Basics: An introduction to machine learning in R
- Neural Networks: Explore neural networks with the
nnet
package