USe {{r}} to not evaluate but just print these chunks

quarto.qmd

@@ -601,13 +601,13 @@ On subsequent runs, knitr will check to see if the code has changed, and if it h
 The caching system must be used with care, because by default it is based on the code only, not its dependencies.
 For example, here the `processed_data` chunk depends on the `raw-data` chunk:
 
-```{r}
+``` {{r}}
 #| label: raw-data
 
 rawdata <- readr::read_csv("a_very_large_file.csv")
 ```
 
-```{r}
+``` {{r}}
 #| label: processed_data
 #| cache: true
 
@@ -619,7 +619,7 @@ processed_data <- rawdata |>
 Caching the `processed_data` chunk means that it will get re-run if the dplyr pipeline is changed, but it won't get rerun if the `read_csv()` call changes.
 You can avoid that problem with the `dependson` chunk option:
 
-```{r}
+``` {{r}}
 #| label: processed-data
 #| cache: true
 #| dependson: "raw-data"
@@ -638,7 +638,7 @@ This is an arbitrary R expression that will invalidate the cache whenever it cha
 A good function to use is `file.info()`: it returns a bunch of information about the file including when it was last modified.
 Then you can write:
 
-```{r}
+``` {{r}}
 #| label: raw-data
 #| cache.extra: file.info("a_very_large_file.csv")