diff --git a/slides/01-r-pkg-intro.qmd b/slides/01-r-pkg-intro.qmd
index 2bda4ca..ea5af75 100644
--- a/slides/01-r-pkg-intro.qmd
+++ b/slides/01-r-pkg-intro.qmd
@@ -91,7 +91,7 @@ mtcars |>
## Packaging our code
::: incremental
-- Allows us to more easily reuse the in many different projects, in a less error-prone way
+- Allows us to more easily reuse it in many different projects, in a less error-prone way
- Lets others benefit from the code we have written
- Increases our code quality because when packaging we:
- must modularize our code into functions and write function reference documentation
diff --git a/slides/02-build-first-pkg.qmd b/slides/02-build-first-pkg.qmd
index 9ff90de..c598a17 100644
--- a/slides/02-build-first-pkg.qmd
+++ b/slides/02-build-first-pkg.qmd
@@ -177,9 +177,9 @@ count_classes <- function(data_frame, class_col) {
### Syntax `package::function()`
-- `count_classes()` includes three {dplyr} functions:
- - `group_by()`, `summarize()`, and `rename()`
-- Alternatively, we can use the syntax `dplyr::group_by()`, `dplyr::summarize()`, and `dplyr::rename()`
+- `count_classes()` includes four {dplyr} functions:
+ - `group_by()`, `summarize()`, `n()`, and `rename()`
+- Alternatively, we can use the syntax `dplyr::group_by()`, `dplyr::summarize()`, `dplyr::n()`, and `dplyr::rename()`
- This syntax is recommended since it makes explicit which package each dependency is coming from within our package functions
### Re-writing our function
@@ -195,7 +195,7 @@ count_classes <- function(data_frame, class_col) {
data_frame |>
dplyr::group_by({{ class_col }}) |>
- dplyr::summarize(count = n()) |>
+ dplyr::summarize(count = dplyr::n()) |>
dplyr::rename("class" = {{ class_col }})
}
```