Translating "level" from stat_density2d to a density or count
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Stephen Tran
May 14, 2018, 8:40:37 PM5/14/18
to ggplot2
Dear all,
I'm using the stat_density2d function to create a contour plot to deal with over plotting. My exact command is: contour = stat_density2d(aes(fill=..level..,alpha=..level..),geom='polygon'). I prefer the appearance of the contour over other types of plots but am having difficulty finding any documentation on how to interpret the 'level'. I am aware from this post, https://stackoverflow.com/questions/32206623/what-does-level-mean-in-ggplotstat-density2d/ , that higher level means more greater density of points. But for publication purposes, I need to explain precisely what 'level' qualitatively means. Would anybody explain what the 'level' quantitatively means? For instance is there a way to translate the 'level' into a metric such as density of points or counts?
Brandon Hurr
May 14, 2018, 9:32:53 PM5/14/18
to stephen...@gmail.com, ggplot2
Did you try looking at the source code?
I'd say that the grouping is computed here:
by MASS::kde2d
HTH,
B
On Mon, May 14, 2018 at 5:40 PM Stephen Tran <stephen...@gmail.com> wrote:
Dear all,I'm using the stat_density2d function to create a contour plot to deal with over plotting. My exact command is: contour = stat_density2d(aes(fill=..level..,alpha=..level..),geom='polygon'). I prefer the appearance of the contour over other types of plots but am having difficulty finding any documentation on how to interpret the 'level'. I am aware from this post, https://stackoverflow.com/questions/32206623/what-does-level-mean-in-ggplotstat-density2d/ , that higher level means more greater density of points. But for publication purposes, I need to explain precisely what 'level' qualitatively means. Would anybody explain what the 'level' quantitatively means? For instance is there a way to translate the 'level' into a metric such as density of points or counts?
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