Adjusting your hexagon plot

Previously, we learned how to give life to simple hexagon plots using ggplot2 and coerce them into  plotly. We took a bunch of default settings rather than customized ones. This recipe is going to show the readers some core parameters to tweak. We could, for example, resize the hexagons and/or choose different color scales and breaks.

Getting ready

In order to make the changes very clear, we're going to elaborate on the previous recipe, so the requirements from it still remain. There's no need to go back, as the following code will fulfill our needs if internet connection is available:

> if( !require(robustbase)){ install.packages('robustbase')}
> library(robustbase)
> data(NOxEmissions)

Let's roll.

How to do it...

Following code is changing hexagons size and colors:

1. We start the same way as in the previous case, but we set up the binwidth parameter and call for an object from the scale_fill group:

> ggplot(data = NOxEmissions, aes( x = LNOx, y = sqrtWS))...