mirror of https://github.com/apache/poi.git
fix negative X on T.DIST.RT
git-svn-id: https://svn.apache.org/repos/asf/poi/trunk@1894469 13f79535-47bb-0310-9956-ffa450edef68
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5d5778d407
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@ -173,6 +173,7 @@ public final class AnalysisToolPak implements UDFFinder {
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r(m, "TBILLEQ", null);
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r(m, "TBILLPRICE", null);
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r(m, "TBILLYIELD", null);
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r(m, "T.DIST", TDistLt.instance);
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r(m, "T.DIST.2T", TDist2t.instance);
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r(m, "T.DIST.RT", TDistRt.instance);
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r(m, "TEXTJOIN", TextJoinFunction.instance);
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@ -0,0 +1,87 @@
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/* ====================================================================
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Licensed to the Apache Software Foundation (ASF) under one or more
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contributor license agreements. See the NOTICE file distributed with
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this work for additional information regarding copyright ownership.
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The ASF licenses this file to You under the Apache License, Version 2.0
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(the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==================================================================== */
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package org.apache.poi.ss.formula.functions;
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import org.apache.poi.ss.formula.OperationEvaluationContext;
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import org.apache.poi.ss.formula.eval.*;
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/**
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* Implementation for Excel T.DIST() function.
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* <p>
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* <b>Syntax</b>:<br> <b>T.DIST </b>(<b>X</b>,<b>Deg_freedom</b>,<b>Cumulative</b>)<br>
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* <p>
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* Returns the Student's left-tailed t-distribution.
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*
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* The t-distribution is used in the hypothesis testing of small sample data sets.
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* Use this function in place of a table of critical values for the t-distribution.
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*
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* <ul>
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* <li>X Required. The numeric value at which to evaluate the distribution.</li>
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* <li>Deg_freedom Required. An integer indicating the number of degrees of freedom.</li>
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* <li>Cumulative Required. A logical value that determines the form of the function. If cumulative is TRUE,
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* T.DIST returns the cumulative distribution function; if FALSE, it returns the probability density function.</li>
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* </ul>
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*
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* <ul>
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* <li>If any argument is non-numeric, T.DIST returns the #VALUE! error value.</li>
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* <li>If Deg_freedom < 1, T.DIST returns the #NUM! error value.</li>
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* <li>The Deg_freedom argument is truncated to an integer.
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* </ul>
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*
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* https://support.microsoft.com/en-us/office/t-dist-rt-function-20a30020-86f9-4b35-af1f-7ef6ae683eda
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*/
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public final class TDistLt extends Fixed3ArgFunction implements FreeRefFunction {
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public static final TDistLt instance = new TDistLt();
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@Override
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public ValueEval evaluate(int srcRowIndex, int srcColumnIndex, ValueEval arg1, ValueEval arg2, ValueEval arg3) {
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try {
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Double number1 = evaluateValue(arg1, srcRowIndex, srcColumnIndex);
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if (number1 == null) {
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return ErrorEval.VALUE_INVALID;
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}
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Double number2 = evaluateValue(arg2, srcRowIndex, srcColumnIndex);
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if (number2 == null) {
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return ErrorEval.VALUE_INVALID;
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}
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int degreesOfFreedom = number2.intValue();
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if (degreesOfFreedom < 1) {
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return ErrorEval.NUM_ERROR;
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}
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return new NumberEval(TDist.tdistOneTail(Math.abs(number1), degreesOfFreedom));
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} catch (EvaluationException e) {
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return e.getErrorEval();
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}
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}
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@Override
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public ValueEval evaluate(ValueEval[] args, OperationEvaluationContext ec) {
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if (args.length == 3) {
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return evaluate(ec.getRowIndex(), ec.getColumnIndex(), args[0], args[1], args[2]);
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}
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return ErrorEval.VALUE_INVALID;
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}
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private static Double evaluateValue(ValueEval arg, int srcRowIndex, int srcColumnIndex) throws EvaluationException {
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ValueEval veText = OperandResolver.getSingleValue(arg, srcRowIndex, srcColumnIndex);
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String strText1 = OperandResolver.coerceValueToString(veText);
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return OperandResolver.parseDouble(strText1);
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}
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}
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@ -17,7 +17,6 @@
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package org.apache.poi.ss.formula.functions;
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import org.apache.commons.math3.distribution.TDistribution;
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import org.apache.poi.ss.formula.OperationEvaluationContext;
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import org.apache.poi.ss.formula.eval.*;
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@ -63,7 +62,7 @@ public final class TDistRt extends Fixed2ArgFunction implements FreeRefFunction
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if (degreesOfFreedom < 1) {
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return ErrorEval.NUM_ERROR;
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}
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return new NumberEval(TDist.tdistOneTail(Math.abs(number1), degreesOfFreedom));
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return new NumberEval(TDist.tdistOneTail(number1, degreesOfFreedom));
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} catch (EvaluationException e) {
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return e.getErrorEval();
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}
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@ -46,7 +46,7 @@ final class TestTDistRt {
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confirmValue("5.968191467", "8", 0.00016754180265310392);
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confirmValue("5.968191467", "8.2", 0.00016754180265310392);
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confirmValue("5.968191467", "8.9", 0.00016754180265310392);
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confirmValue("-5.968191467", "8", 0.00016754180265310392);
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confirmValue("-5.968191467", "8", 0.999832458, 0.01);
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}
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@Test
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@ -72,7 +72,7 @@ final class TestTDistRt {
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HSSFFormulaEvaluator fe = new HSSFFormulaEvaluator(wb);
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HSSFCell cell = wb.getSheetAt(0).getRow(0).createCell(100);
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assertDouble(fe, cell, "T.DIST.RT(A2,A3)", 0.027322465, 0.01);
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assertDouble(fe, cell, "T.DIST.RT(-A2,A3)", 0.027322465, 0.01);
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assertDouble(fe, cell, "T.DIST.RT(-A2,A3)", 0.972677535, 0.01);
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}
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}
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@ -82,9 +82,13 @@ final class TestTDistRt {
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}
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private static void confirmValue(String number1, String number2, double expected) {
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confirmValue(number1, number2, expected, 0.0);
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}
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private static void confirmValue(String number1, String number2, double expected, double tolerance) {
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ValueEval result = invokeValue(number1, number2);
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assertEquals(NumberEval.class, result.getClass());
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assertEquals(expected, ((NumberEval) result).getNumberValue(), 0.0);
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assertEquals(expected, ((NumberEval) result).getNumberValue(), tolerance);
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}
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private static void confirmInvalidError(String number1, String number2) {
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