mirror of https://github.com/apache/poi.git
Bug 55724: implementation of Excel PERCENTILE function
git-svn-id: https://svn.apache.org/repos/asf/poi/trunk@1539154 13f79535-47bb-0310-9956-ffa450edef68
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@ -224,7 +224,8 @@ public final class FunctionEval {
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retval[325] = AggregateFunction.LARGE;
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retval[326] = AggregateFunction.SMALL;
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retval[328] = AggregateFunction.PERCENTILE;
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retval[330] = new Mode();
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retval[336] = TextFunction.CONCATENATE;
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@ -67,6 +67,72 @@ public abstract class AggregateFunction extends MultiOperandNumericFunction {
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return new NumberEval(result);
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}
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}
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/**
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* Returns the k-th percentile of values in a range. You can use this function to establish a threshold of
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* acceptance. For example, you can decide to examine candidates who score above the 90th percentile.
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*
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* PERCENTILE(array,k)
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* Array is the array or range of data that defines relative standing.
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* K is the percentile value in the range 0..1, inclusive.
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*
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* <strong>Remarks</strong>
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* <ul>
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* <li>if array is empty or contains more than 8,191 data points, PERCENTILE returns the #NUM! error value.</li>
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* <li>If k is nonnumeric, PERCENTILE returns the #VALUE! error value.</li>
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* <li>If k is < 0 or if k > 1, PERCENTILE returns the #NUM! error value.</li>
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* <li>If k is not a multiple of 1/(n - 1), PERCENTILE interpolates to determine the value at the k-th percentile.</li>
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* </ul>
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*/
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private static final class Percentile extends Fixed2ArgFunction {
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protected Percentile() {
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}
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public ValueEval evaluate(int srcRowIndex, int srcColumnIndex, ValueEval arg0,
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ValueEval arg1) {
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double dn;
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try {
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ValueEval ve1 = OperandResolver.getSingleValue(arg1, srcRowIndex, srcColumnIndex);
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dn = OperandResolver.coerceValueToDouble(ve1);
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} catch (EvaluationException e1) {
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// all errors in the second arg translate to #VALUE!
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return ErrorEval.VALUE_INVALID;
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}
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if (dn < 0 || dn > 1) { // has to be percentage
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return ErrorEval.NUM_ERROR;
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}
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double result;
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try {
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double[] ds = ValueCollector.collectValues(arg0);
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int N = ds.length;
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if (N == 0 || N > 8191) {
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return ErrorEval.NUM_ERROR;
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}
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double n = (N - 1) * dn + 1;
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if (n == 1d) {
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result = StatsLib.kthSmallest(ds, 1);
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} else if (n == N) {
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result = StatsLib.kthLargest(ds, 1);
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} else {
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int k = (int) n;
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double d = n - k;
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result = StatsLib.kthSmallest(ds, k) + d
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* (StatsLib.kthSmallest(ds, k + 1) - StatsLib.kthSmallest(ds, k));
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}
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NumericFunction.checkValue(result);
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} catch (EvaluationException e) {
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return e.getErrorEval();
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}
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return new NumberEval(result);
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}
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}
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static final class ValueCollector extends MultiOperandNumericFunction {
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private static final ValueCollector instance = new ValueCollector();
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public ValueCollector() {
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@ -148,6 +214,9 @@ public abstract class AggregateFunction extends MultiOperandNumericFunction {
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return values.length > 0 ? MathX.min(values) : 0;
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}
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};
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public static final Function PERCENTILE = new Percentile();
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public static final Function PRODUCT = new AggregateFunction() {
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protected double evaluate(double[] values) {
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return MathX.product(values);
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