Side-by-side preview works for both HTML and PDF output. The preview will update whenever you re-render the document. The preview will appear alongside the editor: If you prefer to automatically render whenever you save you can check the Render on Save option on the editor toolbar. Use the Render button to preview documents as you edit them: Use the File : New File : Quarto Document… command to create new Quarto documents: If you are using Quarto within RStudio it is strongly recommended that you use the latest release of RStudio (v2023.12). RStudio v2022.07 and later includes support for editing and preview of Quarto documents (the documentation below assumes you are using this build or a later version). You can override the version of R used by Quarto by setting the QUARTO_R environment variable.

In addition, on Windows when R is not found on the PATH, the registry will be scanned for the current R version. Quarto will select a version of R by looking on the system PATH. Installation of the rmarkdown package will also install the knitr package so you will have everything required to render documents containing R code. If no format is specified, then it will render to HTML.įrom the system shell using the quarto render command: The Render button will render the first format listed in the document YAML. You can render Quarto documents in a variety of ways: When a Quarto document is rendered, R code blocks are automatically executed. Read more about inline code in the Inline Code article. In addition to code blocks which interupt the flow of markdown, you can also include code inline. There are many options which control the behavior of code execution and output, you can read more about them in the article on Execution Options. You can produce a wide variety of output types from executable code blocks, including plots, tabular output from data frames, and plain text output (e.g. printing the results of statistical summaries).

This document results in the following rendered output: These are cell level options that make the figure cross-referenceable. You’ll note that there are some special comments at the top of the code block. ``` #| label: fig-airquality #| fig-cap: 'Temperature and ozone level.' #| warning: false library(ggplot2) ggplot(airquality, aes(Temp, Ozone)) + geom_point() + geom_smooth(method = 'loess') ``` title: 'ggplot2 demo' author: 'Norah Jones' date: '' format: html: code-fold: true - # Air Quality further explores the impact of temperature on ozone level.

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