Density Plot Grouped

val macaqueWeights = listOf( 1.563, 2.173, 2.118, 2.722, 2.384, 1.789, 2.649, 1.299, 1.566, 1.821, 2.151, 1.554, 1.464, 1.611, 2.178, 2.652, 2.031, 2.265, 1.919, 1.283, 2.365, 2.540, 2.779, 2.040, 2.138, 1.783, 1.442, 1.413, 2.224, 2.345, 1.753, 2.284, 2.465, 1.430, 2.617, 1.667, 2.462, 1.777, 2.104, 2.404, 1.276, 1.489, 2.662, 1.853, 2.315, 1.589, 1.586, 2.569, 1.888, 1.414, 1.623, 2.084, 2.484, 2.348, 1.496, 2.238, 1.778, 2.173, 2.411, 2.540, 2.325, 1.324, 2.252, 1.978, 2.075, 2.585, 2.414, 2.162, 1.584, 2.399, 1.757, 2.109, 1.436, 2.628, 2.370, 1.679, 1.970, 2.360, 2.005, 2.179, 2.177, 1.941, 2.282, 2.067, 2.288, 1.481, 1.638, 2.164, 2.485, 1.797, 2.369, 1.690, 2.143, 1.743, 2.357, 2.280, 1.824, 1.678, 2.531, 1.958, 1.466, 1.877, 2.005 ) val chimpanzeeWeights = listOf( 4.530, 4.257, 4.381, 4.935, 3.392, 4.611, 2.499, 4.306, 4.119, 3.622, 4.099, 4.832, 2.456, 3.411, 4.426, 2.940, 4.529, 3.635, 2.991, 4.372, 2.319, 4.358, 1.882, 3.472, 4.828, 4.005, 3.452, 3.854, 3.455, 2.996, 4.031, 4.382, 2.947, 4.752, 2.466, 4.558, 2.548, 3.172, 3.010, 3.472, 5.258, 2.746, 4.022, 3.013, 4.942, 3.206, 3.779, 4.367, 3.853, 2.483, 3.957, 2.943, 4.791, 3.432, 3.530, 2.576, 2.833, 4.650, 5.515, 4.413, 2.699, 3.310, 5.047, 3.047, 4.095, 4.712, 2.600, 3.523, 3.106, 4.110, 2.894, 3.373, 2.656, 3.684, 5.171, 4.049, 4.773, 3.456, 4.420, 2.090, 3.155, 4.678, 3.240, ) val df = dataFrameOf( "weight" to macaqueWeights + chimpanzeeWeights, "group" to macaqueWeights.map { "macaque" } + chimpanzeeWeights.map { "chimpanzee" } ) df.groupBy("group").plot { densityPlot("weight") { alpha = 0.5 } }

val macaqueWeights = listOf( 1.563, 2.173, 2.118, 2.722, 2.384, 1.789, 2.649, 1.299, 1.566, 1.821, 2.151, 1.554, 1.464, 1.611, 2.178, 2.652, 2.031, 2.265, 1.919, 1.283, 2.365, 2.540, 2.779, 2.040, 2.138, 1.783, 1.442, 1.413, 2.224, 2.345, 1.753, 2.284, 2.465, 1.430, 2.617, 1.667, 2.462, 1.777, 2.104, 2.404, 1.276, 1.489, 2.662, 1.853, 2.315, 1.589, 1.586, 2.569, 1.888, 1.414, 1.623, 2.084, 2.484, 2.348, 1.496, 2.238, 1.778, 2.173, 2.411, 2.540, 2.325, 1.324, 2.252, 1.978, 2.075, 2.585, 2.414, 2.162, 1.584, 2.399, 1.757, 2.109, 1.436, 2.628, 2.370, 1.679, 1.970, 2.360, 2.005, 2.179, 2.177, 1.941, 2.282, 2.067, 2.288, 1.481, 1.638, 2.164, 2.485, 1.797, 2.369, 1.690, 2.143, 1.743, 2.357, 2.280, 1.824, 1.678, 2.531, 1.958, 1.466, 1.877, 2.005 ) val chimpanzeeWeights = listOf( 4.530, 4.257, 4.381, 4.935, 3.392, 4.611, 2.499, 4.306, 4.119, 3.622, 4.099, 4.832, 2.456, 3.411, 4.426, 2.940, 4.529, 3.635, 2.991, 4.372, 2.319, 4.358, 1.882, 3.472, 4.828, 4.005, 3.452, 3.854, 3.455, 2.996, 4.031, 4.382, 2.947, 4.752, 2.466, 4.558, 2.548, 3.172, 3.010, 3.472, 5.258, 2.746, 4.022, 3.013, 4.942, 3.206, 3.779, 4.367, 3.853, 2.483, 3.957, 2.943, 4.791, 3.432, 3.530, 2.576, 2.833, 4.650, 5.515, 4.413, 2.699, 3.310, 5.047, 3.047, 4.095, 4.712, 2.600, 3.523, 3.106, 4.110, 2.894, 3.373, 2.656, 3.684, 5.171, 4.049, 4.773, 3.456, 4.420, 2.090, 3.155, 4.678, 3.240, ) val df = dataFrameOf( "weight" to macaqueWeights + chimpanzeeWeights, "group" to macaqueWeights.map { "macaque" } + chimpanzeeWeights.map { "chimpanzee" } ) df.groupBy("group").plot { densityPlot("weight") { alpha = 0.5 } }