13  WebR

library(dplyr, warn.conflicts = FALSE)

13.2 Testing

Following the guidance on the README of webR Extension for Quarto.

To use this extension in a Quarto project, install it from within the project’s working directory by typing into Terminal:

quarto add coatless/quarto-webr

For each document, place the webr filter in the document’s header (I actually placed it in _quarto.yml:

filters:
  - webr

Then, place the R code for webR in a code block marked with {webr-r}. For example.

```{webr-r}
fit = lm(mpg ~ am, data = mtcars)

summary(fit)
```

    

  

  

  





Note: If you don’t specify the engine: knitr, the default compute engine used will be jupyter. This could trigger prompts to install Python. However, if you specify engine: knitr, there’s no need to install Python.


There are many more customization options that are available. Please see the customization documentation for more examples.


For specific deployment usage cases, please see Templates.