public static void DrawDistributionsAndSaveImage(double[,] matrix, string imagePath)
{
// calculate statistics for values in matrix
double[] values = DataTools.Matrix2Array(matrix);
DataTools.GetModeAndOneTailedStandardDeviation(values, out int[] histogram, out double min, out double max, out int modalBin, out double mode, out double sd);
int width = 100; // pixels
int height = 100; // pixels
int upperPercentileBin = 0;
string title = "wpd";
var image = GraphsAndCharts.DrawHistogram(
title,
histogram,
upperPercentileBin,
new Dictionary <string, double>()
{
{ "min", min },
{ "max", max },
{ "modal", modalBin },
{ "mode", mode },
{ "sd", sd },
},
width,
height);
image.Save(imagePath);
}
public static SpectralStats GetModeAndOneTailedStandardDeviation(double[] values, int binCount, int upperPercentile)
{
DataTools.GetModeAndOneTailedStandardDeviation(values, out var histogram, out var min, out var max, out var modalBin, out var mode, out var sd);
// writeBarGraph(histogram); // debug purposes
return(new SpectralStats()
{
Minimum = min,
Maximum = max,
ModalBin = modalBin,
Mode = mode,
StandardDeviation = sd,
UpperPercentile = upperPercentile,
Distribution = histogram,
Count = values.Length,
});
}
public static SpectralStats GetModeAndOneTailedStandardDeviation(double[,] matrix)
{
double[] values = DataTools.Matrix2Array(matrix);
DataTools.GetModeAndOneTailedStandardDeviation(values, out var histogram, out var min, out var max, out var modalBin, out var mode, out var sd);
// writeBarGraph(histogram); // debug purposes
return(new SpectralStats()
{
Minimum = min,
Maximum = max,
Mode = mode,
ModalBin = modalBin,
StandardDeviation = sd,
UpperPercentile = 0,
Distribution = histogram,
});
}
public static SpectralStats GetModeAndOneTailedStandardDeviation(double[] values, int binCount, int upperPercentile)
{
const bool displayHistogram = false;
double min, max, mode, sd;
DataTools.GetModeAndOneTailedStandardDeviation(values, displayHistogram, out min, out max, out mode, out sd);
int[] histogram = Histogram.Histo(values, binCount);
return(new SpectralStats()
{
Minimum = min,
Maximum = max,
Mode = mode,
StandardDeviation = sd,
UpperPercentile = upperPercentile,
Distribution = histogram,
Count = values.Length,
});
}
public static List <Image <Rgb24> > DrawPlotDistributions(List <Plot> plots)
{
int imageWidth = 100;
int height = 100;
var imageList = new List <Image <Rgb24> >();
foreach (var plot in plots)
{
DataTools.GetModeAndOneTailedStandardDeviation(plot.data, out int[] histogram, out double min, out double max, out int modalBin, out double mode, out double sd);
var statistics = new Dictionary <string, double>
{
{ "min", min },
{ "max", max },
{ "mode", mode },
{ "sd", sd },
};
var image = DrawHistogram(plot.title, histogram, 95, statistics, imageWidth, height);
imageList.Add(image);
}
return(imageList);
}
public static SpectralStats GetModeAndOneTailedStandardDeviation(double[,] matrix)
{
int binCount = 100;
int upperPercentile = 0;
double[] values = DataTools.Matrix2Array(matrix);
const bool displayHistogram = false;
double min, max, mode, sd;
DataTools.GetModeAndOneTailedStandardDeviation(values, displayHistogram, out min, out max, out mode, out sd);
int[] histogram = Histogram.Histo(matrix, binCount);
return(new SpectralStats()
{
Minimum = min,
Maximum = max,
Mode = mode,
StandardDeviation = sd,
UpperPercentile = upperPercentile,
Distribution = histogram,
});
}