This website offers a collection of materials and examples to help you learn how to code statistical concepts in R. Whether you are a student or a professional, the resources here are designed to support your understanding of both R programming and key statistical concepts.

Statistics is a fundamental subject that is vital in many fields, which is why it is often a required course for various majors. From understanding probability (for example, why getting ten heads in a row with a fair coin is highly unlikely) to applying statistical methods in real-world scenarios, statistics is a skill everyone can benefit from.

R is one of the most powerful and widely used tools in statistics, data analysis, scientific computation, and graphical presentations. Here, you will find many things you need to enhance your coding and statistical knowledge and apply it effectively.

Please enjoy exploring the content, and feel free to provide feedback at the bottom of the webpages. Topics covered include basics, data, distributions, plots & charts, tests & intervals, and regression.

Basics

This provides an introduction to basic concepts.

Data

This covers data management and handling.

Distributions

This covers various statistical distributions and their associated parameters.

Plots & Charts

This covers some of the most common statistical plots, charts, and graphical parameters.

Test & Intervals

This covers some of the most common statistical tests and confidence intervals.

Regression

This covers various regression concepts.

These pages cover the key topics typically found in an introductory statistics course, with a focus on both statistics and the R programming language. You will find numerous code blocks, equations, and graphs throughout the site, all designed to enhance learning. The code blocks are color-coded for easy identification of different components, and the equations are accompanied by detailed explanations of the statistical and mathematical concepts they represent.

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