This website provides materials and examples of coding statistical concepts in R. It is designed to be useful to both students and practitioners of statistics for learning how to code in R and related statistical concepts.

Statistics is one of the most important subjects and this is why most majors require their students to take a statistics class. Similarly, statistics is one of the most applied subjects. For example, if you get ten straight heads from tossing a coin, you might conclude it is not a fair coin. This is because the probability of such is very low for a fair coin, and even people who have never been in a statistics class know this.

Also, the R programming language is one of the most important and widely used tools for statistics, scientific calculation, data analysis and graphical presentations.

Topics covered include basics, data, distributions, plots & charts, tests & intervals, and regression.

Basics

This covers the introduction to basic concepts.

Data

This covers data handling.

Distributions

This covers several statistical distributions and 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 & intervals.

Regression

This covers several regression ideas.

These encompass most of the topics to be covered in an introductory statistics class. The pages are written with an emphasis on learning both statistics and the R programming language. Hence, a significant amount of code blocks, equations and graphs are available on the pages of the website. The code blocks are also color-coded to make it easy to identify different types of components of the code blocks. Similarly, detailed equations are provided with explanations of the statistical and mathematical ideas represented by the equations.

For more information, see the About and Terms pages.

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