{"id":18968,"date":"2026-09-27T07:06:18","date_gmt":"2026-09-27T07:06:18","guid":{"rendered":"https:\/\/www.simtrade.fr\/blog_simtrade\/?p=18968"},"modified":"2026-10-12T20:08:40","modified_gmt":"2026-10-12T20:08:40","slug":"how-to-install-and-run-r-on-your-computer-a-step-by-step-guide","status":"publish","type":"post","link":"https:\/\/www.simtrade.fr\/blog_simtrade\/how-to-install-and-run-r-on-your-computer-a-step-by-step-guide\/","title":{"rendered":"How to install and run R on your computer (a step-by-step guide)"},"content":{"rendered":"\n<p><a href=\"https:\/\/www.linkedin.com\/in\/hadrienpuche\" target=\"_blank\"><img decoding=\"async\" style=\"padding: 5px\" title=\"\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2026\/06\/img_Hadrien_Puche_bis-scaled-e1781527786395.jpeg\" alt=\"Hadrien Puche\" width=\"133\" align=\"right\"><\/a><\/p>\n\n\n<p>Understanding and writing R code can be a valuable skill for your career. While general-purpose programming languages such as Python are more widely used, R is particularly well suited to statistical analysis, data visualization, and quantitative research.<\/p>\n\n<p>In this article, <a href=\"https:\/\/www.linkedin.com\/in\/hadrienpuche\" target=\"_blank\">Hadrien PUCHE<\/a> (ESSEC Business School, <i>Grande \u00c9cole<\/i> Program, Master in Management, 2023-2027) will help you to:<\/p>\n \n<ul>\n  <li>Understand the core components of the R statistical ecosystem for finance<\/li>\n  <li>Compare development setups (RStudio Desktop vs. Visual Studio Code)<\/li>\n  <li>Install R alongside essential build tools (RTools \/ Xcode)<\/li>\n  <li>Set up RStudio Desktop as a purpose-built workspace<\/li>\n  <li>Install econometric packages via CRAN (like <code>quantmod<\/code>)<\/li>\n  <li>Run a test script<\/li>\n<\/ul>\n\n\n<h2>But first, what is R exactly?<\/h2>\n\n<p>Historically, R was created in 1993 as an open-source implementation of the S language, developed at Bell Labs for statistical computing.<\/p>\n \n<p>Setting up your R workspace can be straightforward. We will rely on CRAN (the Comprehensive R Archive Network), R\u2019s main public repository for packages, to install the packages required for our analysis and their dependencies.  Let&#8217;s walk through deploying a professional quantitative workspace for R.<\/p>\n\n<div style=\"background-color: #f8f9fa;border-left: 4px solid #0056b3;padding: 15px;margin: 20px 0;border-radius: 4px\">\n  <h4 style=\"margin-top:0;color:#0056b3\">Quick vocabulary for beginners<\/h4>\n  <p style=\"font-size:14px;margin-bottom:8px\">Before we dive in, let\u2019s define a few technical terms you will encounter frequently:<\/p>\n  <ul style=\"font-size:13px;margin-bottom:0;padding-left:20px\">\n    <li><b>Package:<\/b> A collection of reusable R functions, data, and documentation designed for a specific purpose. For example, <code>quantmod<\/code> provides tools for quantitative financial analysis and financial data retrieval.<\/li>\n    <li><b>Library:<\/b> A directory on your computer, where your installed packages are stored. You will use the <code>library()<\/code> command in your code to load them. While developers often use the terms package and library interchangeably, technically you <i>install a package<\/i> into your <i>library<\/i>.<\/li>\n    <li><b>Dependency:<\/b> A package that another package requires in order to work properly. R manages these dependencies automatically, so you do not have to take care of them, but do not be surprised if R installs many more packages than you initially requested.<\/li>\n    <li><b>Build Tools (Rtools \/ Xcode):<\/b> Background software required by your computer to translate (or &#8220;compile&#8221;) raw source code into executable instructions. R frequently compiles financial packages directly on your machine, making these essential to prevent errors.<\/li>\n  <\/ul>\n<\/div>\n \n\n<h2>Choosing your development environment: RStudio or Visual Studio Code?<\/h2>\n \n<p>You generally have two choices when it comes to writing R code: RStudio Desktop and Visual Studio Code (VS Code).<\/p>\n \n<ul>\n    <li><b>RStudio Desktop:<\/b> An Integrated Development Environment (IDE) built specifically for R. It features a 4-pane layout that lets you simultaneously view your scripts, console, environment variables (data frames loaded in memory), and charts.<\/li>\n    <li><b>Visual Studio Code:<\/b> VS Code is a highly versatile code editor. You can run R in VS Code by installing the R extension and configuring the required R packages. This is a good choice if you plan to mix multiple programming languages in the same project, though configuring VS Code for R requires a bit more effort than RStudio.<\/li>\n<\/ul>\n \n<p style=\"text-align:center;margin:20px 0\">\n  <img decoding=\"async\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2026\/09\/img_R_Studio_empty.png\" alt=\"RStudio Desktop 4-pane layout\" width=\"500\" style=\"margin-top:8px;border-radius:8px;max-width: 100%\">\n  <br>\n  <small style=\"color:#555\">RStudio Desktop Interface<\/small>\n<\/p>\n\n<p style=\"text-align:center;margin:20px 0\">\n  <img decoding=\"async\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2026\/09\/img_VSC_R.png\" alt=\"Visual Studio Code running R\" width=\"500\" style=\"margin-top:8px;border-radius:8px;max-width: 100%\">\n  <br>\n  <small style=\"color:#555\">Visual Studio Code configured for R<\/small>\n<\/p>\n \n<p>For this guide, we will focus on setting up R and integrating it with <b>RStudio<\/b>, as it offers a purpose-built user experience for R.<\/p>\n \n \n<h2>Understanding the R architecture<\/h2>\n \n<p>The R architecture operates as follows:<\/p>\n \n<ul>\n    <li><b>Base R:<\/b> The underlying computational engine that calculates the math and runs the logic.<\/li>\n    <li><b>Build tools (RTools \/ Xcode):<\/b>oftware required to compile R packages from source when precompiled binary versions are not available. Most beginners will install packages from binaries, but having these tools available can prevent installation problems with packages that require compilation.<\/li>\n    <li><b>CRAN:<\/b> The Comprehensive R Archive Network. This is the centralized, strictly regulated global repository for R packages.<\/li>\n<\/ul>\n \n \n<h2>Step-by-step installation guide<\/h2>\n \n<h3>Step 1: Install R and build tools<\/h3>\n \n<p>First, we must install R. RStudio will not function without it.<\/p>\n \n<ol>\n    <li>Go to the official <a href=\"https:\/\/cran.r-project.org\/\" target=\"_blank\">CRAN Download Page<\/a>.<\/li>\n    <li><b>For Windows:<\/b> \n        <ul>\n            <li>Click <b>Download R for Windows<\/b> &gt; <b>base<\/b> &gt; Download the latest R executable and install it using default settings.<\/li>\n            <li>Go back to the Windows page, click <b>Rtools<\/b>, and install the version matching your R installation. This is critical for compiling quantitative packages later.<\/li>\n        <\/ul>\n    <\/li>\n    <li><b>For macOS:<\/b> \n        <ul>\n            <li>Click <b>Download R for macOS<\/b> and select the <code>.pkg<\/code> matching your chip (Apple Silicon or Intel).<\/li>\n            <li>To ensure packages compile correctly, open your Mac <b>Terminal<\/b> and run <code>xcode-select --install<\/code> to get the necessary developer tools.<\/li>\n        <\/ul>\n    <\/li>\n<\/ol>\n \n \n<h3>Step 2: Install RStudio<\/h3>\n \n<p>Now, we install the integrated development environment (IDE) that we will use to write and execute R code.<\/p>\n \n<ol>\n    <li>Head to the <a href=\"https:\/\/posit.co\/download\/rstudio-desktop\/\" target=\"_blank\">Posit RStudio Desktop website<\/a>.<\/li>\n    <li>Download the free version corresponding to your operating system (Windows or macOS).<\/li>\n    <li>Run the installer. RStudio will normally detect the R installation completed in Step 1 automatically.<\/li>\n<\/ol>\n \n \n<h3>Step 3: Install packages from CRAN<\/h3>\n \n<p>Because R uses centralized package repositories such as CRAN, we can install the packages required for our financial analysis directly from the R console in RStudio.<\/p>\n \n<ol>\n    <li>Launch <b>RStudio<\/b>.<\/li>\n    <li>In the <b>Console<\/b> pane (bottom-left), type the following command and press Enter. This will reach out to CRAN and download the essential tools for market data and time-series analysis:<\/li>\n<\/ol>\n \n<pre style=\"background-color: #f6f8fa;border: 1px solid #d0d7de;border-radius: 6px;padding: 16px;font-size: 13px;line-height: 1.45\"><code style=\"font-family: monospace;white-space: pre\">\n<span style=\"color: #6a737d\"># Install quantmod for data retrieval, xts for time-series, and PerformanceAnalytics for risk metrics<\/span>\ninstall.packages(c(\"quantmod\", \"xts\", \"PerformanceAnalytics\", \"ggplot2\"))\n<\/code>\n<\/pre>\n\n<div style=\"background-color: #fff8c5;border: 1px solid #d4a72c;border-radius: 6px;padding: 12px;margin: 15px 0;font-size: 13px\">\n  <b>\ud83d\udca1 Quick fix tip:<\/b> R may occasionally ask whether you want to install a package from source when a binary version is also available. For beginners, the binary version is usually the simplest option. Installing from source may require Rtools on Windows or the Xcode Command Line Tools on macOS.\n<\/div>\n \n<p style=\"text-align:center;margin:20px 0\">\n  <img decoding=\"async\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2026\/09\/img_packages_download.png\" alt=\"a screenshot of the output of the script when downloading the packages\" width=\"500\" style=\"margin-top:8px;border-radius:8px;max-width: 100%\">\n  <br>\n<\/p>\n\n \n<h2>Checking that everything is working as intended<\/h2>\n \n<p>Let&#8217;s verify your infrastructure by writing a short script that pulls actual market data.<\/p>\n \n<ol>\n    <li>In RStudio, go to <b>File &gt; New File &gt; R Script<\/b>.<\/li>\n    <li>Paste the following quantitative code into the top-left editor pane.<\/li>\n    <li><b>Highlight all the text<\/b> and press <code>Ctrl+Enter<\/code> (Windows) or <code>Cmd+Enter<\/code> (macOS) to run it.<\/li>\n<\/ol>\n \n<pre style=\"background-color: #f6f8fa;border: 1px solid #d0d7de;border-radius: 6px;padding: 16px;font-family: monospace;font-size: 13px;line-height: 1.45;margin: 0\"><code><span style=\"color: #6a737d\"># Load the quantitative financial modeling library<\/span>\nlibrary(quantmod)\n \n<span style=\"color: #6a737d\"># Download historical financial data for Apple via Yahoo Finance API<\/span>\ngetSymbols(\"AAPL\", src = \"yahoo\", from = \"2023-01-01\", to = \"2024-01-01\", auto.assign = TRUE)\n \n<span style=\"color: #6a737d\"># Display the first 5 rows of the time-series array in the console<\/span>\nprint(head(AAPL))\n \n<span style=\"color: #6a737d\"># Generate a financial chart with volume and Bollinger Bands for volatility analysis<\/span>\nchartSeries(AAPL, \n            name = \"Apple Inc. (AAPL) Historical Prices\", \n            theme = chartTheme(\"white\"), \n            TA = c(addVo(), addBBands()))<\/code><\/pre>\n \n<p style=\"text-align:center;margin:20px 0\">\n  <img decoding=\"async\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2026\/09\/img_R_Studio_test_script.png\" alt=\"A screenshot of RStudio after running the test script\" width=\"500\" style=\"margin-top:8px;border-radius:8px;max-width: 100%\">\n  <br>\n  <small style=\"color:#555\">After running the script, your RStudio should look like this<\/small>\n<\/p>\n\n\n<p>If the <code>AAPL<\/code> dataset appears in your top-right Environment pane, the data prints in your Console, and a professional candlestick chart renders in your bottom-right Plots pane, your R setup is fully operational.<\/p>\n \n \n<h2>Next steps &amp; use cases<\/h2>\n \n<p>With R correctly configured, you are now equipped to tackle complex econometric and financial challenges. A good next step would be to learn how to download financial data with R.<\/p>\n\n<p>You can learn how to do so in this article: <a href=\"#\">How to download financial data with R<\/a><\/p>\n\n\n<h2>Useful resources<\/h2>\n\n<p>&nbsp;&nbsp;&nbsp;\u25b6 <a href=\"https:\/\/cran.r-project.org\/\" target=\"_blank\">CRAN (The Comprehensive R Archive Network)<\/a>: The main public repository for R packages, R distributions, and documentation. CRAN provides a centralized infrastructure for distributing and maintaining thousands of R packages used in statistical computing, econometrics, and quantitative research.<\/p>\n\n<h2>About the author<\/h2> \n\n<p>This article was written in September 2026 by <a href=\"https:\/\/www.linkedin.com\/in\/hadrienpuche\" target=\"_blank\">Hadrien PUCHE<\/a> (ESSEC Business School, <i>Grande \u00c9cole<\/i> Program, Master in Management, 2023-2027).<\/p>\n\n<p>&nbsp;&nbsp;&nbsp;\u25b6 Discover all posts by <a href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/author\/hpuche\/\" target=\"_parent\">Hadrien PUCHE<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Understanding and writing R code can be a valuable skill for your career. While general-purpose programming languages such as Python are more widely used, R is particularly well suited to statistical analysis, data visualization, and quantitative research. In this article, Hadrien PUCHE (ESSEC Business School, Grande \u00c9cole Program, Master in Management, 2023-2027) will help you &#8230; <a title=\"How to install and run R on your computer (a step-by-step guide)\" class=\"read-more\" href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/how-to-install-and-run-r-on-your-computer-a-step-by-step-guide\/\" aria-label=\"Read more about How to install and run R on your computer (a step-by-step guide)\">Read more<\/a><\/p>\n","protected":false},"author":163,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[5,10],"tags":[485],"class_list":["post-18968","post","type-post","status-publish","format-standard","hentry","category-contributors","category-financial-techniques","tag-r"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.3 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>How to install and run R on your computer (a step-by-step guide) - SimTrade blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/how-to-install-and-run-r-on-your-computer-a-step-by-step-guide\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to install and run R on your computer (a step-by-step guide)\" \/>\n<meta property=\"og:description\" content=\"Understanding and writing R code can be a valuable skill for your career. While general-purpose programming languages such as Python are more widely used, R is particularly well suited to statistical analysis, data visualization, and quantitative research. In this article, Hadrien PUCHE (ESSEC Business School, Grande \u00c9cole Program, Master in Management, 2023-2027) will help you ... 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While general-purpose programming languages such as Python are more widely used, R is particularly well suited to statistical analysis, data visualization, and quantitative research. In this article, Hadrien PUCHE (ESSEC Business School, Grande \u00c9cole Program, Master in Management, 2023-2027) will help you ... 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