Fix code formatting

base-R.qmd

@@ -428,7 +428,7 @@ The final member of the apply family is the titular `apply()`, which works with
 In particular, watch out for `apply(df, 2, something)`, which is a slow and potentially dangerous way of doing `lapply(df, something)`.
 This rarely comes up in data science because we usually work with data frames and not matrices.
 
-## For loops
+## `for` loops
 
 `for` loops are the fundamental building block of iteration that both the apply and map families use under the hood.
 `for` loops are powerful and general tools that are important to learn as you become a more experienced R programmer.
@@ -443,7 +443,7 @@ for (element in vector) {
 ```
 
 The most straightforward use of `for` loops is to achieve the same effect as `walk()`: call some function with a side-effect on each element of a list.
-For example, in @sec-save-database instead of using walk:
+For example, in @sec-save-database instead of using `walk()`:
 
 ```{r}
 #| eval: false