public static Plot CreateAdvancedStatisticsPlot()
{
var plt = new ScottPlot.Plot(600, 400);
// create some sample data to represent test scores
Random rand = new Random(0);
double[] scores = DataGen.RandomNormal(rand, 250, 85, 5);
// create a Population object from the data
var pop = new ScottPlot.Statistics.Population(scores);
// display the original values scattered vertically
double[] ys = DataGen.RandomNormal(rand, pop.values.Length, stdDev: .15);
plt.PlotScatter(pop.values, ys, markerSize: 10,
markerShape: MarkerShape.openCircle, lineWidth: 0);
// display the bell curve for this distribution
double[] curveXs = DataGen.Range(pop.minus3stDev, pop.plus3stDev, .1);
double[] curveYs = pop.GetDistribution(curveXs);
plt.PlotScatter(curveXs, curveYs, markerSize: 0, lineWidth: 2);
// improve the style of the plot
plt.Title($"Test Scores (mean: {pop.mean:0.00} +/- {pop.stDev:0.00}, n={pop.n})");
plt.XLabel("Score");
plt.Grid(lineStyle: LineStyle.Dot);
return(plt);
//plt.SaveFig("Advanced_Statistics_Population.png");
}
public void Test_Population_CurveSideways()
{
Random rand = new Random(0);
var ages = new ScottPlot.Statistics.Population(rand, 44, 78, 2);
double[] curveXs = DataGen.Range(ages.minus3stDev, ages.plus3stDev, .1);
double[] curveYs = ages.GetDistribution(curveXs);
var plt = new ScottPlot.Plot(400, 300);
plt.PlotScatter(DataGen.Random(rand, ages.values.Length), ages.values,
markerSize: 10, markerShape: MarkerShape.openCircle, lineWidth: 0);
plt.PlotScatter(curveYs, curveXs, markerSize: 0);
plt.Grid(lineStyle: LineStyle.Dot);
TestTools.SaveFig(plt);
}