---
tags: r-rstudio data-management data-analysis visualization statistics
---
R
====
Welcome to the Tufts RT Guides R tutorial hub! Explore a variety of tutorials designed to help you start your journey with R. Learn how to utilize different packages and libraries for tasks such as data manipulation, analysis, visualization, and much more.

```{gallery-grid}
:grid-columns: 1
:grid-rows: 15

- header: "{fab}`r-project;pst-color-primary` 01 Getting started with R"
  content: "Learn about R: guide on how to download and install, and present different environments and methods for running R, including the popular RStudio IDE and the Tufts HPC cluster."
  link: "00_Getting_started_with_R.html"

- header: "{fab}`r-project;pst-color-primary` 02 Introduction to RStudio"
  content: "An overview of RStudio - guiding users on how to navigate its interface and effectively utilize the main features. The objective is to help users understand how to start RStudio, navigate different panes, and access essential functionality for coding in R."
  link: "01_Intro_to_RStudio.html"

- header: "{fab}`r-project;pst-color-primary` 03 Introduction to R Programming"
  content: "This is your first tutorial on R Programming - demonstrates how to run R code, with practical instructions on setting up the environment, running scripts, and performing basic data manipulations."
  link: "02_intro-r_script%20excution%20and%20basics.html"

- header: "{fab}`r-project;pst-color-primary` 04 Working with Imported Data - the Base R"
  content: "This tutorial will guide you through importing a CSV dataset of Atlantic hurricanes and performing basic data exploration and cleaning."
  link: "03_working_with_imported_data.html"

- header: "{fab}`r-project;pst-color-primary` 05 Working with Imported Data - the Tidyverse in R"
  content: "This tutorial explores the Tidyverse, a collection of R packages that simplify data analysis. You will learn to enhance data workflows using streamlined functions for importing, cleaning, and summarizing data."
  link: "04_working_with_imported_data_tidyverse.html"

- header: "{fab}`r-project;pst-color-primary` 06 Accelerating R Code with Fast Loops and Parallel Processing"
  content: "This tutorial introduces parallel processing in R to handle large datasets efficiently. Learn to use different libraries to speed up computations by distributing tasks across multiple cores. Explore practical examples, comparisons, and guidelines for choosing between packages for different use cases."
  link: "Fast_Loops_and_Parallel_Processing.html"

```