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@@ -58,6 +58,7 @@ public class PrecisionEP15Item {
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private final int df;
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private final double p;//0.01 or 0.05
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+ private double cr;
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public PrecisionEP15Item(int index, double[][] data, InspectionConfigVO configVO) {
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this.name = configVO.getSpecimensName()[index];
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@@ -82,6 +83,26 @@ public class PrecisionEP15Item {
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this.df = configVO.getDays() * (configVO.getRepeatNum() - 1);
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}
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+ public String getName() {
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+ return name;
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+ }
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+
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+ public void setName(String name) {
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+ this.name = name;
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+ }
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+
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+ public int getLevel() {
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+ return level;
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+ }
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+
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+ public int getDf() {
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+ return df;
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+ }
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+
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+ public double getP() {
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+ return p;
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+ }
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+
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public double getN() {
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return n;
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}
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@@ -98,6 +119,14 @@ public class PrecisionEP15Item {
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this.vr = vr;
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}
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+ public double getCr() {
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+ return cr;
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+ }
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+
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+ public void setCr(double cr) {
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+ this.cr = cr;
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+ }
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+
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public double getSdb() {
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return sdb;
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}
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@@ -221,9 +250,6 @@ public class PrecisionEP15Item {
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public void calculate() {
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//批内标准差
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-// xValue[] vrs = Arrays.stream(data).map(SpecimensCalcVO::getVariance).toArray(xValue[]::new);
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-// double withinVr = xAverage.eval(vrs).getDoub();
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-// sr = Math.sqrt(withinVr);
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double[] vrs = new double[data.length];
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for (int i = 0; i < data.length; i++) {
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vrs[i] = StatUtils.variance(data[i]);
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@@ -231,7 +257,6 @@ public class PrecisionEP15Item {
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vr = StatUtils.mean(vrs);
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sdr = Math.sqrt(vr);//SDr 为批内标准差
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//总均值
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-// xValue[] means = Arrays.stream(data).map(SpecimensCalcVO::getMean).toArray(xValue[]::new);
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double[] means = new double[data.length];
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for (int i = 0; i < data.length; i++) {
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means[i] = StatUtils.mean(data[i]);
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@@ -259,8 +284,8 @@ public class PrecisionEP15Item {
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}
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double d = data.length;
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-// double cr = PVModel.getCValue(df, level, 0.05);
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- verR = allowableSDr * Math.sqrt(PVModel.getCValue(df, level, p) / df);
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+ cr = PVModel.getCValue(df, level, p);
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+ verR = allowableSDr * Math.sqrt(cr / df);
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//t=((((C14-1)*(C16^2))+(C14*M11))^2)/(((C14-1)/C13*(C16^4))+(((C14^2)*(M11^2))/(C13-1)))
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t = (Math.pow((((n - 1) * (Math.pow(sdr, 2))) + (n * vb)), 2)) / (((n - 1) / d * (Math.pow(sdr, 4))) + (((Math.pow(n, 2)) * (Math.pow(vb, 2))) / (d - 1)));
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liyuan