I have code that produces N arrays of doubles and I'd like to create a spearmans correlation matrix. Is there a function to do it for me or do I have to iterate through all the combinations and build my own correlation matrix with Correlation.Spearman()?
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1
目前还没有计算相关矩阵的例程,但我在 GitHub 上打开了票证#161来跟踪它。
同时,您可以使用以下例程(我在这里使用v3.0.0-alpha5):
Matrix<double> Spearman(double[][] data)
{
var m = Matrix<double>.Build.DenseIdentity(data.Length);
for(int i=0; i<data.Length; i++)
for(int j=i+1; j<data.Length; j++)
{
var c = Correlation.Spearman(data[i], data[j]);
m.At(i,j,c);
m.At(j,i,c);
}
return m;
}
var vectors = new[] {
new[] { 1.0, 2.0, 3.0, 4.0 },
new[] { 2.0, 4.0, 6.0, 8.0 },
new[] { 4.0, 3.0, 2.0, 1.0 },
new[] { 0.0, 10.0, 10.0, 20.0 },
new[] { 2.0, 4.0, -4.0, 2.0 }
};
Spearman(vectors);
哪个会返回:
DenseMatrix 5x5-Double
1 1 -1 0.948683 -0.316228
1 1 -1 0.948683 -0.316228
-1 -1 1 -0.948683 0.316228
0.948683 0.948683 -0.948683 1 0
-0.316228 -0.316228 0.316228 0 1
2013 年 10 月 20 日更新:
添加到 master,在 V3.0.0-alpha6 和更新版本中可用:
Correlation.PearsonMatrix(params double[][] vectors)
Correlation.PearsonMatrix(IEnumerable<double[]> vectors)
Correlation.SpearmanMatrix(params double[][] vectors)
Correlation.SpearmanMatrix(IEnumerable<double[]> vectors)
于 2013-10-03T12:18:02.777 回答