install.packages("tidyverse")Statistical Computing
Introduction
Welcome to Statistical Computing! A book designed to give undergraduate students exposure to several topics related to computational statistics and programming in R.
Note
This book is a work in progress and will contain several grammatical errors and unfinished chapters. The final product is expected to be ready by the 2026-27 Academic Year.
This work is published under a CC-BY-4.0 license.
Installing R
R is an open-source programming language used to conduct statistical analysis. You can freely download and install R here.
Installing Positron
Positron is an Integrated Development Environment (IDE) used for data science. It contains several tools needed to extend your programming and project management skills.
You can download and install the open-source (free) version of Positron here.
Installing Quarto
Quarto is a technical documentation system that allows you to embed narrative, code, and output in one document. Quarto should be automatically install from Positron; however, you can update (or install) it here.
Installing R Packages
R Packages extends the functionality from the base functions in R. R packages contain extra functions to conduct uncommon statistical models.
The tidyverse is a set of comprehensive packages to prepare and analyze data. To install tidyverse, use the following line in the console:
Topics
| Topic | Description |
|---|---|
| Probability and Statistics | A review of different topics related to probability theory and statistics. |
| Monte Carlo Methods | Explore different algorithms to generate random variables. |
| Randomizations | Learn how to implement different permutation tests. |
| Bootstrapping | Conduct different bootstrapping techniques to construct confidence intervals. |
| Simulations | Implement Monte Carlo methods to approximate hypothesis tests, simulation studies, and power analysis. |
| R Programming | Provide with a brief introduction to R programming. Topics include basic computations, control flow statements, functional programming, scripting, summarization and plotting |