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/* -*- 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 <sfx2/dispatch.hxx>
#include <svl/zforlist.hxx>
#include <svl/undo.hxx>
#include "formulacell.hxx"
#include "rangelst.hxx"
#include "scitems.hxx"
#include "docsh.hxx"
#include "document.hxx"
#include "uiitems.hxx"
#include "reffact.hxx"
#include "docfunc.hxx"
#include "TableFillingAndNavigationTools.hxx"
#include "ZTestDialog.hxx"
ScZTestDialog::ScZTestDialog(
SfxBindings* pSfxBindings, SfxChildWindow* pChildWindow,
vcl::Window* pParent, ScViewData* pViewData ) :
ScStatisticsTwoVariableDialog(
pSfxBindings, pChildWindow, pParent, pViewData,
"ZTestDialog", "modules/scalc/ui/ztestdialog.ui" )
{
SetText(SC_RESSTR(STR_ZTEST));
}
ScZTestDialog::~ScZTestDialog()
{}
bool ScZTestDialog::Close()
{
return DoClose( ScZTestDialogWrapper::GetChildWindowId() );
}
sal_Int16 ScZTestDialog::GetUndoNameId()
{
return STR_ZTEST_UNDO_NAME;
}
ScRange ScZTestDialog::ApplyOutput(ScDocShell* pDocShell)
{
AddressWalkerWriter aOutput(mOutputAddress, pDocShell, 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("%VARIABLE1_RANGE%", pVariable1Iterator->get());
aTemplate.autoReplaceRange("%VARIABLE2_RANGE%", pVariable2Iterator->get());
aOutput.writeBoldString(SC_RESSTR(STR_ZTEST));
aOutput.newLine();
// Alpha
aOutput.writeString(SC_RESSTR(STR_LABEL_ALPHA));
aOutput.nextColumn();
aOutput.writeValue(0.05);
aTemplate.autoReplaceAddress("%ALPHA%", aOutput.current());
aOutput.newLine();
// Hypothesized mean difference
aOutput.writeString(SC_RESSTR(STR_HYPOTHESIZED_MEAN_DIFFERENCE_LABEL));
aOutput.nextColumn();
aOutput.writeValue(0);
aTemplate.autoReplaceAddress("%HYPOTHESIZED_MEAN_DIFFERENCE%", aOutput.current());
aOutput.newLine();
// Variable Label
aOutput.nextColumn();
aOutput.writeBoldString(SC_RESSTR(STR_VARIABLE_1_LABEL));
aOutput.nextColumn();
aOutput.writeBoldString(SC_RESSTR(STR_VARIABLE_2_LABEL));
aOutput.newLine();
// Known Variance
aOutput.writeString(SC_RESSTR(STR_ZTEST_KNOWN_VARIANCE));
aOutput.nextColumn();
aOutput.writeValue(0);
aTemplate.autoReplaceAddress("%KNOWN_VARIANCE_VARIABLE1%", aOutput.current());
aOutput.nextColumn();
aOutput.writeValue(0);
aTemplate.autoReplaceAddress("%KNOWN_VARIANCE_VARIABLE2%", aOutput.current());
aOutput.newLine();
// Mean
aOutput.writeString(SC_RESSTR(STRID_CALC_MEAN));
aOutput.nextColumn();
aTemplate.setTemplate("=AVERAGE(%VARIABLE1_RANGE%)");
aTemplate.autoReplaceAddress("%MEAN_VARIABLE1%", aOutput.current());
aOutput.writeFormula(aTemplate.getTemplate());
aOutput.nextColumn();
aTemplate.setTemplate("=AVERAGE(%VARIABLE2_RANGE%)");
aTemplate.autoReplaceAddress("%MEAN_VARIABLE2%", aOutput.current());
aOutput.writeFormula(aTemplate.getTemplate());
aOutput.newLine();
// Observations
aOutput.writeString(SC_RESSTR(STR_OBSERVATIONS_LABEL));
aOutput.nextColumn();
aTemplate.setTemplate("=COUNT(%VARIABLE1_RANGE%)");
aOutput.writeFormula(aTemplate.getTemplate());
aTemplate.autoReplaceAddress("%OBSERVATION_VARIABLE1%", aOutput.current());
aOutput.nextColumn();
aTemplate.setTemplate("=COUNT(%VARIABLE2_RANGE%)");
aOutput.writeFormula(aTemplate.getTemplate());
aTemplate.autoReplaceAddress("%OBSERVATION_VARIABLE2%", aOutput.current());
aOutput.newLine();
// Observed mean difference
aOutput.writeString(SC_RESSTR(STR_OBSERVED_MEAN_DIFFERENCE_LABEL));
aOutput.nextColumn();
aTemplate.setTemplate("=%MEAN_VARIABLE1% - %MEAN_VARIABLE2%");
aOutput.writeMatrixFormula(aTemplate.getTemplate());
aTemplate.autoReplaceAddress("%OBSERVED_MEAN_DIFFERENCE%", aOutput.current());
aOutput.newLine();
// z
aOutput.writeString(SC_RESSTR(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("%Z_STAT%", aOutput.current());
aOutput.newLine();
// P one-tail
aOutput.writeString(SC_RESSTR(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(SC_RESSTR(STR_ZTEST_Z_CRITICAL_ONE_TAIL));
aOutput.nextColumn();
aTemplate.setTemplate("=-NORMSINV(%ALPHA%)");
aOutput.writeFormula(aTemplate.getTemplate());
aOutput.newLine();
// P two-tail
aOutput.writeString(SC_RESSTR(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(SC_RESSTR(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: */
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