R Markdown: The Definitive Guide

There are three ways in which a parameterized report can be knitted:

• Using the Knit button within RStudio.
• rmarkdown::render() with the params argument.
• Using an interactive user interface to input parameter values.

15.3.1 The Knit button

By using the Knit button in RStudio or calling rmarkdown::render() function, the default values listed in the YAML metadata (if specified) will be used.

15.3.2 Knit with custom parameters

Even if your document has the params field in the YAML metadata, you can actually override it by providing a custom list of parameter values to the function rmarkdown::render() . For example:

 rmarkdown::render("MyDocument.Rmd", params = list( year = 2017, region = "Asia", printcode = FALSE, file = "file2.csv" ))

We do not have to explicitly state all parameters in the params argument. Any parameters not specified will default to the values specified in the YAML metadata. For example, this will only override the region parameter:

 rmarkdown::render("MyDocument.Rmd", params = list( region = "Asia" ))

You may want to integrate these changes into a function. Such a function could also be used to create an output file with a different filename for each of the different combination of parameters. In the following example, a new file Report-region-year.pdf is created for each set of parameters:

 render_report = function(region, year)  rmarkdown::render( "MyDocument.Rmd", params = list( region = region, year = year ), output_file = paste0("Report-", region, "-", year, ".pdf") ) >

15.3.3 The interactive user interface

We can use a graphical user interface (GUI) based on Shiny to interactively input the parameters of a report. The user interface can be called by either rmarkdown::render("MyDocument.Rmd", params = "ask") or clicking the drop-down menu behind the Knit button and choosing Knit with Parameters in RStudio. Figure 15.1 shows the GUI of rmarkdown asking for inputting parameters.

FIGURE 15.1: Input parameter values interactively for parameterized reports.

The input controls for different types of parameters can be customized by specifying additional sub-items within the parameter specification in YAML. For example, sliders, check boxes, and text input boxes can all be used for input controls.

In addition, we can also specify constraints of the values allowed in each parameter. For example, we may only want our model to be run for years between 2010 and 2018. This is particularly beneficial if you would like other users to interact with the report, as it prevents users from attempting to run reports outside of the designed limits.

Adapting our above example to include some settings:

 --- title: My Document output: html_document params: year: label: "Year" value: 2017 input: slider min: 2010 max: 2018 step: 1 sep: "" region: label: "Region:" value: Europe input: select choices: [North America, Europe, Asia, Africa] printcode: label: "Display Code:" value: TRUE data: label: "Input dataset:" value: results.csv input: file ---

This results in the user interface for the parameters as shown in Figure 15.2.

FIGURE 15.2: Custom controls for parameters.

The type of Shiny control used is controlled by the input field. Table 15.1 shows the input types currently supported (see the help page for the associated Shiny function for additional attributes that can be specified to customize the input, e.g., ?shiny::checkboxInput ).