/// <summary>
///
/// </summary>
/// <param name="data"></param>
public DescriptiveAnalysis(SampleMatrix data)
{
this.m_sourceData = data;
// Run analysis
this.m_mean = Statistics.Tools.Mean(data);
this.m_stdDev = Statistics.Tools.StandardDeviation(data, m_mean);
this.m_dScores = m_sourceData.Clone();
Statistics.Tools.Center(m_dScores, m_mean);
this.m_zScores = Statistics.Tools.ZScores(data, m_mean, m_stdDev);
this.m_median = Statistics.Tools.Median(data);
this.m_mode = Statistics.Tools.Mode(data);
this.m_variance = Statistics.Tools.Variance(data, m_mean);
this.m_covMatrix = Statistics.Tools.Covariance(data, m_mean);
this.m_corMatrix = Statistics.Tools.Covariance(m_zScores);
this.m_ranges = new DoubleRange[this.m_sourceData.Columns];
for (int i = 0; i < m_ranges.Length; i++)
{
this.m_ranges[i] = m_sourceData.GetColumn(i).Range;
}
// Create object-oriented structure to access data
DescriptiveMeasures[] measures = new DescriptiveMeasures[m_sourceData.Columns];
for (int i = 0; i < measures.Length; i++)
{
measures[i] = new DescriptiveMeasures(this, i);
}
this.m_measuresCollection = new DescriptiveMeasureCollection(measures);
}
