Fixed URL in readme

README.md

@@ -192,7 +192,7 @@ and highlight potential outliers in red using the lookout algorithm
 (described in [Chapter 6 of the
 book](https://otexts.com/weird/06-density.html)). An explanation of
 these plots is provided in [Chapter 5 of the
-book](https://otexts.com/weird/04-boxplots.html).
+book](https://otexts.com/weird/05-boxplots.html).
 
 It is also possible to produce bivariate boxplots. Several variations
 are provided in the package. Here are two types of bagplot.

README.qmd

@@ -111,7 +111,7 @@ of |> gg_hdrboxplot(duration, scatterplot = TRUE) +
   labs(x = "Duration (seconds)")
 ```
 
-The latter two plots are HDR boxplots, which allow the bimodality of the data to be seen. The dark shaded region contains 50% of the observations, while the lighter shaded region contains 99% of the observations. The plots use vertical jittering to reduce overplotting, and highlight potential outliers in red using the lookout algorithm (described in [Chapter 6 of the book](https://otexts.com/weird/06-density.html)). An explanation of these plots is provided in [Chapter 5 of the book](https://otexts.com/weird/04-boxplots.html).
+The latter two plots are HDR boxplots, which allow the bimodality of the data to be seen. The dark shaded region contains 50% of the observations, while the lighter shaded region contains 99% of the observations. The plots use vertical jittering to reduce overplotting, and highlight potential outliers in red using the lookout algorithm (described in [Chapter 6 of the book](https://otexts.com/weird/06-density.html)). An explanation of these plots is provided in [Chapter 5 of the book](https://otexts.com/weird/05-boxplots.html).
 
 It is also possible to produce bivariate boxplots. Several variations are provided in the package. Here are two types of bagplot.