java 代码实现计算 icc相关性系数
时间: 2023-11-04 19:03:43 浏览: 76
计算相似性度量的实现代码
我可以为您介绍计算ICC相关性系数的Java代码实现方法。您可以使用Apache Commons Math库中的StatisticalAnalysis类来计算。以下是示例代码:
```
import org.apache.commons.math3.stat.StatUtils;
import org.apache.commons.math3.stat.correlation.Covariance;
import org.apache.commons.math3.stat.correlation.KendallsCorrelation;
import org.apache.commons.math3.stat.correlation.PearsonsCorrelation;
import org.apache.commons.math3.stat.correlation.SpearmansCorrelation;
public class ICCCalculator {
// 计算ICC的方法
public double calculateICC(double[][] data) {
// 计算rater间的平均值,得到每个item的平均得分
double[] itemMeans = StatUtils.mean(data);
// 计算rater之间的协方差
Covariance cov = new Covariance(data);
double raterVariance = cov.getTrace() / data.length;
// 计算item之间的协方差
double[] itemVariances = new double[data[0].length];
for (int i = 0; i < data[0].length; i++) {
double[] column = getColumn(data, i);
itemVariances[i] = StatUtils.variance(column);
}
double itemVariance = StatUtils.mean(itemVariances);
// 计算ICC
double icc = (raterVariance - (itemVariance / data[0].length)) / raterVariance;
return icc;
}
// 获取矩阵的某一列
private double[] getColumn(double[][] data, int columnIndex) {
double[] column = new double[data.length];
for (int i = 0; i < data.length; i++) {
column[i] = data[i][columnIndex];
}
return column;
}
// 测试代码
public static void main(String[] args) {
double[][] data = {{2, 3, 4}, {3, 4, 5}, {4, 5, 6}, {5, 6, 7}};
ICCCalculator iccCalculator = new ICCCalculator();
double icc = iccCalculator.calculateICC(data);
System.out.println("ICC: " + icc);
}
}
```
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