The collapse-output filter folding output from R cells, showing that it works on what Quarto emits rather than on any one engine.
The Examples page runs Python through Jupyter. This one runs R through knitr, from the renv environment declared at the repository root.
The filter acts on the cell and cell-output elements Quarto emits, which are the same whichever engine produced them, so nothing here is configured differently.
Folding one cell
```{r}#| output-fold: truesummary(cars)```
Standard Output (7 lines)
speed dist Min. : 4.0 Min. : 2.00 1st Qu.:12.0 1st Qu.: 26.00 Median :15.0 Median : 36.00 Mean :15.4 Mean : 42.98 3rd Qu.:19.0 3rd Qu.: 56.00 Max. :25.0 Max. :120.00
The summary comes from summary-template, set once for the whole site, and its line count is measured from the output above.
A summary of your own
```{r}#| output-fold: true#| output-summary: "Click to view the model"summary(lm(dist ~ speed, data = cars))```
Click to view the model
Call:lm(formula = dist ~ speed, data = cars)Residuals: Min 1Q Median 3Q Max -29.069 -9.525 -2.272 9.215 43.201 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -17.5791 6.7584 -2.601 0.0123 * speed 3.9324 0.4155 9.464 1.49e-12 ***---Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Residual standard error: 15.38 on 48 degrees of freedomMultiple R-squared: 0.6511, Adjusted R-squared: 0.6438 F-statistic: 89.57 on 1 and 48 DF, p-value: 1.49e-12