View source: R/PlotPosteriors.R
| PlotPosteriors | R Documentation |
Plots posteriors either using a panel of plots based on PlotBayesianDecision2D or in 1D as a line plot.
PlotPosteriors(Data, Posteriors, Class = 1, CellColorsOrPallette,
Showpoints = TRUE)
Data |
Either numeric matrix [1:n, 1:d] with data or one column of data. |
Posteriors |
[1:n, 1:Class] matrix of posteriors. |
Class |
Integer defining which class to look at if numeric matrix is given, for column of data all posteriors are overlayed in line plot. |
CellColorsOrPallette |
Either a function defining the color palette of a character vector or character vector of length NoBins stating colors. |
Showpoints |
TRUE, points are displayed. |
Plotting posteriors in one directions only often does not give any insight. The default option using PlotBayesianDecision2D os often more useful.
GGobj |
ggplot2 object containing 2D visualization of Posteriori. |
Michael Thrun
Data = as.matrix(iris[,1:4])
Cls = as.numeric(iris[,5])
TrainIdx = c(17, 73, 46, 29, 68, 35, 131, 62, 132, 127, 71, 72,
144, 99, 93, 13, 38, 21, 102, 53, 36, 111, 114, 96, 57, 74, 145,
86, 3, 16, 52, 59, 140, 40, 122, 109, 6, 91, 79, 15, 108, 139,
37, 76, 20, 115, 66, 28, 100, 117, 44, 78, 80, 150, 146, 142,
9, 90, 45, 58, 134, 11, 87, 125, 141, 118, 136, 48, 124, 47,
8, 27, 33, 92, 130, 54, 65, 104, 23, 98, 129, 123, 34, 128, 135,
51, 64, 5, 94, 83, 42, 116, 101, 43, 7, 12, 82, 1, 84, 138, 2,
56, 4, 106, 120)
TestIdx = c(60, 10, 75, 70, 81, 18, 97, 95, 67, 22, 55, 143,
88, 24, 105, 26, 119, 31, 107, 63, 41, 61, 32, 147, 89, 14, 121,
19, 113, 49, 126, 112, 25, 77, 137, 103, 50, 30, 149, 110, 39,
69, 148, 85, 133)
TrainX = Data[TrainIdx, ]
TestX = Data[TestIdx, ]
TrainY = Cls[TrainIdx]
TestY = Cls[TestIdx]
VPDENB = Train_naiveBayes(Data = TrainX, Cls = TrainY, Plausible = FALSE)
#default option
PlotPosteriors(Data = TrainX, Posteriors = VPDENB$Posteriors, Class = 1)
# alternative option
PlotPosteriors(Data = TrainX[,3], Posteriors = VPDENB$Posteriors)
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