Merge branch 'carpentries-incubator:main' into highlighting-reviews

_episodes_rmd/01-introduction-to-high-dimensional-data.Rmd

@@ -114,7 +114,7 @@ high-dimensional datasets it can also be difficult to identify a single response
 variable, making standard data exploration and analysis techniques less useful.
 
 Let's have a look at a simple dataset with lots of features to understand some
-of the challenges we are facing when working with high-dimensional data.
+of the challenges we are facing when working with high-dimensional data. 
 
 
 > ## Challenge 2 
@@ -166,6 +166,10 @@ of the challenges we are facing when working with high-dimensional data.
 > {: .solution}
 {: .challenge}
 
+Note that function documentation and information on function arguments will be useful throughout
+this lesson. We can access these easily in R by running `?` followed by the package name.
+For example, the documentation for the `dim` package can be accessed by running `?dim`.
+
 > ## Locating data with R - the **`here`** package
 > 
 > It is often desirable to access external datasets from inside R and to write