update theme section, added theming packages tp "More resources" at t…

…he end

closes datacarpentry#641

04-visualization-ggplot2.Rmd

@@ -460,15 +460,13 @@ using the `theme_bw()` function:
      theme_bw()
 ```
 
-In addition to `theme_bw()`, which changes the plot background to white,
-**`ggplot2`** comes with several other themes which can be useful to quickly
-change the look of your visualization. The complete list of themes is available
-at <https://ggplot2.tidyverse.org/reference/ggtheme.html>. `theme_minimal()` and
-`theme_light()` are popular, and `theme_void()` can be useful as a starting
-point to create a new hand-crafted theme.
-
-The [ggthemes](https://jrnold.github.io/ggthemes/reference/index.html) package
-provides a wide variety of options.
+In addition, **`ggplot2`** comes with several other themes which can be useful
+to quickly change the look of your visualization. Popular options are
+`theme_minimal()` and `theme_light()`, and `theme_void()` can be useful as a
+starting point to create a new hand-crafted theme.The complete list of themes is
+available [here](https://ggplot2.tidyverse.org/reference/ggtheme.html).
+Additional themes are available in packages such as
+[ggthemes](https://jrnold.github.io/ggthemes/reference/index.html).
 
 > ### Challenge
 >
@@ -624,13 +622,9 @@ website](https://patchwork.data-imaginist.com/)
 After creating your plot, you can save it to a file in your favorite format. The
 Export tab in the **Plot** pane in RStudio will save your plots at low
 resolution, which will not be accepted by many journals and will not scale well
-for posters. The [**`ggplot2`** extensions
-website](https://exts.ggplot2.tidyverse.org/) provides a list of packages that
-extend the capabilities of **`ggplot2`**, including additional themes.
-
-Instead, use the `ggsave()` function, which allows you easily change the
-dimension and resolution of your plot by adjusting the appropriate arguments
-(`width`, `height` and `dpi`):
+for posters. Instead, use the `ggsave()` function, which allows you easily
+change the dimension and resolution of your plot by adjusting the appropriate
+arguments (`width`, `height` and `dpi`):
 
 ```{r ggsave-example, eval = FALSE, purl = FALSE}
 my_plot <- ggplot(data = yearly_sex_counts, 
@@ -666,5 +660,19 @@ saved plot.
 ##  https://www.rstudio.com/wp-content/uploads/2015/08/ggplot2-cheatsheet.pdf
 ```
 
+## More Resources
+
+-   The [**`ggplot2`** extensions website](https://exts.ggplot2.tidyverse.org/)
+    provides a list of packages that extend the capabilities of **`ggplot2`**,
+    including additional themes.
+
+-   There are several packages that try to make configuring ggplots easier.
+    These include [**`equisse`**](https://github.com/dreamRs/esquisse),
+    [**`ggplotgui`**](https://github.com/gertstulp/ggplotgui),
+    [**`ggquickeda`**](https://github.com/smouksassi/ggquickeda),
+    [**`ggthemeassist`**](https://github.com/calligross/ggthemeassist),
+    [**`ggplotAssist`**](https://github.com/cardiomoon/ggplotAssist), and
+    [**`ggedit`**](https://github.com/yonicd/ggedit)
+
 ```{r, child="_page_built_on.Rmd"}
 ```