/* -*- Mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
/*
* This file is part of the LibreOffice project .
*
* This Source Code Form is subject to the terms of the Mozilla Public
* License , v . 2 . 0 . If a copy of the MPL was not distributed with this
* file , You can obtain one at http : //mozilla.org/MPL/2.0/.
*
*/
#include <memory>
#include <reffact.hxx>
#include <TableFillingAndNavigationTools.hxx>
#include <ZTestDialog.hxx>
#include <scresid.hxx>
#include <strings.hrc>
ScZTestDialog::ScZTestDialog(
SfxBindings* pSfxBindings, SfxChildWindow* pChildWindow,
weld::Window* pParent, ScViewData& rViewData ) :
ScStatisticsTwoVariableDialog(
pSfxBindings, pChildWindow, pParent, rViewData,
u"modules/scalc/ui/ztestdialog.ui" _ustr, u"ZTestDialog" _ustr)
{
m_xDialog->set_title(ScResId(STR_ZTEST));
}
ScZTestDialog::~ScZTestDialog()
{}
void ScZTestDialog::Close()
{
DoClose( ScZTestDialogWrapper::GetChildWindowId() );
}
TranslateId ScZTestDialog::GetUndoNameId()
{
return STR_ZTEST_UNDO_NAME;
}
ScRange ScZTestDialog::ApplyOutput(ScDocShell& rDocShell)
{
AddressWalkerWriter aOutput(mOutputAddress, rDocShell, mDocument,
formula::FormulaGrammar::mergeToGrammar( formula::FormulaGrammar::GRAM_ENGLISH, mAddressDetails.eConv));
FormulaTemplate aTemplate(&mDocument);
std::unique_ptr<DataRangeIterator> pVariable1Iterator;
if (mGroupedBy == BY_COLUMN)
pVariable1Iterator.reset(new DataRangeByColumnIterator(mVariable1Range));
else
pVariable1Iterator.reset(new DataRangeByRowIterator(mVariable1Range));
std::unique_ptr<DataRangeIterator> pVariable2Iterator;
if (mGroupedBy == BY_COLUMN)
pVariable2Iterator.reset(new DataRangeByColumnIterator(mVariable2Range));
else
pVariable2Iterator.reset(new DataRangeByRowIterator(mVariable2Range));
aTemplate.autoReplaceRange(u"%VARIABLE1_RANGE%" _ustr, pVariable1Iterator->get());
aTemplate.autoReplaceRange(u"%VARIABLE2_RANGE%" _ustr, pVariable2Iterator->get());
aOutput.writeBoldString(ScResId(STR_ZTEST));
aOutput.newLine();
// Alpha
aOutput.writeString(ScResId(STR_LABEL_ALPHA));
aOutput.nextColumn();
aOutput.writeValue(0 .05 );
aTemplate.autoReplaceAddress(u"%ALPHA%" _ustr, aOutput.current());
aOutput.newLine();
// Hypothesized mean difference
aOutput.writeString(ScResId(STR_HYPOTHESIZED_MEAN_DIFFERENCE_LABEL));
aOutput.nextColumn();
aOutput.writeValue(0 );
aTemplate.autoReplaceAddress(u"%HYPOTHESIZED_MEAN_DIFFERENCE%" _ustr, aOutput.current());
aOutput.newLine();
// Variable Label
aOutput.nextColumn();
aOutput.writeBoldString(ScResId(STR_VARIABLE_1_LABEL));
aOutput.nextColumn();
aOutput.writeBoldString(ScResId(STR_VARIABLE_2_LABEL));
aOutput.newLine();
// Known Variance
aOutput.writeString(ScResId(STR_ZTEST_KNOWN_VARIANCE));
aOutput.nextColumn();
aOutput.writeValue(0 );
aTemplate.autoReplaceAddress(u"%KNOWN_VARIANCE_VARIABLE1%" _ustr, aOutput.current());
aOutput.nextColumn();
aOutput.writeValue(0 );
aTemplate.autoReplaceAddress(u"%KNOWN_VARIANCE_VARIABLE2%" _ustr, aOutput.current());
aOutput.newLine();
// Mean
aOutput.writeString(ScResId(STRID_CALC_MEAN));
aOutput.nextColumn();
aTemplate.setTemplate("=AVERAGE(%VARIABLE1_RANGE%)" );
aTemplate.autoReplaceAddress(u"%MEAN_VARIABLE1%" _ustr, aOutput.current());
aOutput.writeFormula(aTemplate.getTemplate());
aOutput.nextColumn();
aTemplate.setTemplate("=AVERAGE(%VARIABLE2_RANGE%)" );
aTemplate.autoReplaceAddress(u"%MEAN_VARIABLE2%" _ustr, aOutput.current());
aOutput.writeFormula(aTemplate.getTemplate());
aOutput.newLine();
// Observations
aOutput.writeString(ScResId(STR_OBSERVATIONS_LABEL));
aOutput.nextColumn();
aTemplate.setTemplate("=COUNT(%VARIABLE1_RANGE%)" );
aOutput.writeFormula(aTemplate.getTemplate());
aTemplate.autoReplaceAddress(u"%OBSERVATION_VARIABLE1%" _ustr, aOutput.current());
aOutput.nextColumn();
aTemplate.setTemplate("=COUNT(%VARIABLE2_RANGE%)" );
aOutput.writeFormula(aTemplate.getTemplate());
aTemplate.autoReplaceAddress(u"%OBSERVATION_VARIABLE2%" _ustr, aOutput.current());
aOutput.newLine();
// Observed mean difference
aOutput.writeString(ScResId(STR_OBSERVED_MEAN_DIFFERENCE_LABEL));
aOutput.nextColumn();
aTemplate.setTemplate("=%MEAN_VARIABLE1% - %MEAN_VARIABLE2%" );
aOutput.writeMatrixFormula(aTemplate.getTemplate());
aTemplate.autoReplaceAddress(u"%OBSERVED_MEAN_DIFFERENCE%" _ustr, aOutput.current());
aOutput.newLine();
// z
aOutput.writeString(ScResId(STR_ZTEST_Z_VALUE));
aOutput.nextColumn();
aTemplate.setTemplate("=(%OBSERVED_MEAN_DIFFERENCE% - %HYPOTHESIZED_MEAN_DIFFERENCE%) / SQRT( %KNOWN_VARIANCE_VARIABLE1% / %OBSERVATION_VARIABLE1% + %KNOWN_VARIANCE_VARIABLE2% / %OBSERVATION_VARIABLE2% )" );
aOutput.writeFormula(aTemplate.getTemplate());
aTemplate.autoReplaceAddress(u"%Z_STAT%" _ustr, aOutput.current());
aOutput.newLine();
// P one-tail
aOutput.writeString(ScResId(STR_ZTEST_P_ONE_TAIL));
aOutput.nextColumn();
aTemplate.setTemplate("=1 - NORMSDIST(ABS(%Z_STAT%))" );
aOutput.writeFormula(aTemplate.getTemplate());
aOutput.newLine();
// z critical one-tail
aOutput.writeString(ScResId(STR_ZTEST_Z_CRITICAL_ONE_TAIL));
aOutput.nextColumn();
aTemplate.setTemplate("=-NORMSINV(%ALPHA%)" );
aOutput.writeFormula(aTemplate.getTemplate());
aOutput.newLine();
// P two-tail
aOutput.writeString(ScResId(STR_ZTEST_P_TWO_TAIL));
aOutput.nextColumn();
aTemplate.setTemplate("=2 * NORMSDIST(-ABS(%Z_STAT%))" );
aOutput.writeFormula(aTemplate.getTemplate());
aOutput.newLine();
// z critical two-tail
aOutput.writeString(ScResId(STR_ZTEST_Z_CRITICAL_TWO_TAIL));
aOutput.nextColumn();
aTemplate.setTemplate("=-NORMSINV(%ALPHA%/2)" );
aOutput.writeFormula(aTemplate.getTemplate());
return ScRange(aOutput.mMinimumAddress, aOutput.mMaximumAddress);
}
/* vim:set shiftwidth=4 softtabstop=4 expandtab: */
Messung V0.5 in Prozent C=85 H=98 G=91
¤ Dauer der Verarbeitung: 0.2 Sekunden
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