diff options
Diffstat (limited to 'sc/source/ui/StatisticsDialogs/TTestDialog.cxx')
| -rw-r--r-- | sc/source/ui/StatisticsDialogs/TTestDialog.cxx | 183 |
1 files changed, 183 insertions, 0 deletions
diff --git a/sc/source/ui/StatisticsDialogs/TTestDialog.cxx b/sc/source/ui/StatisticsDialogs/TTestDialog.cxx new file mode 100644 index 000000000..864d4ac4f --- /dev/null +++ b/sc/source/ui/StatisticsDialogs/TTestDialog.cxx @@ -0,0 +1,183 @@ +/* -*- 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 <TTestDialog.hxx> +#include <scresid.hxx> +#include <strings.hrc> + +ScTTestDialog::ScTTestDialog( + SfxBindings* pSfxBindings, SfxChildWindow* pChildWindow, + weld::Window* pParent, ScViewData& rViewData ) : + ScStatisticsTwoVariableDialog( + pSfxBindings, pChildWindow, pParent, rViewData, + "modules/scalc/ui/ttestdialog.ui", "TTestDialog") +{ + m_xDialog->set_title(ScResId(STR_TTEST)); +} + +ScTTestDialog::~ScTTestDialog() +{} + +void ScTTestDialog::Close() +{ + DoClose( ScTTestDialogWrapper::GetChildWindowId() ); +} + +TranslateId ScTTestDialog::GetUndoNameId() +{ + return STR_TTEST_UNDO_NAME; +} + +ScRange ScTTestDialog::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(ScResId(STR_TTEST_UNDO_NAME)); + aOutput.newLine(); + + // Alpha + aOutput.writeString(ScResId(STR_LABEL_ALPHA)); + aOutput.nextColumn(); + aOutput.writeValue(0.05); + aTemplate.autoReplaceAddress("%ALPHA%", aOutput.current()); + aOutput.newLine(); + + // Hypothesized mean difference + aOutput.writeString(ScResId(STR_HYPOTHESIZED_MEAN_DIFFERENCE_LABEL)); + aOutput.nextColumn(); + aOutput.writeValue(0); + aTemplate.autoReplaceAddress("%HYPOTHESIZED_MEAN_DIFFERENCE%", aOutput.current()); + aOutput.newLine(); + + aOutput.nextColumn(); + aOutput.writeBoldString(ScResId(STR_VARIABLE_1_LABEL)); + aOutput.nextColumn(); + aOutput.writeBoldString(ScResId(STR_VARIABLE_2_LABEL)); + aOutput.newLine(); + + aOutput.writeString(ScResId(STRID_CALC_MEAN)); + aOutput.nextColumn(); + aTemplate.setTemplate("=AVERAGE(%VARIABLE1_RANGE%)"); + aOutput.writeFormula(aTemplate.getTemplate()); + aOutput.nextColumn(); + aTemplate.setTemplate("=AVERAGE(%VARIABLE2_RANGE%)"); + aOutput.writeFormula(aTemplate.getTemplate()); + aOutput.newLine(); + + aOutput.writeString(ScResId(STRID_CALC_VARIANCE)); + aOutput.nextColumn(); + aTemplate.setTemplate("=VAR(%VARIABLE1_RANGE%)"); + aOutput.writeFormula(aTemplate.getTemplate()); + aOutput.nextColumn(); + aTemplate.setTemplate("=VAR(%VARIABLE2_RANGE%)"); + aOutput.writeFormula(aTemplate.getTemplate()); + aOutput.newLine(); + + // Observations + aOutput.writeString(ScResId(STR_OBSERVATIONS_LABEL)); + aOutput.nextColumn(); + aTemplate.setTemplate("=COUNT(%VARIABLE1_RANGE%)"); + aOutput.writeFormula(aTemplate.getTemplate()); + aOutput.nextColumn(); + aTemplate.setTemplate("=COUNT(%VARIABLE2_RANGE%)"); + aOutput.writeFormula(aTemplate.getTemplate()); + aOutput.newLine(); + + // Pearson Correlation + aOutput.writeString(ScResId(STR_TTEST_PEARSON_CORRELATION)); + aOutput.nextColumn(); + aTemplate.setTemplate("=CORREL(%VARIABLE1_RANGE%;%VARIABLE2_RANGE%)"); + aOutput.writeFormula(aTemplate.getTemplate()); + aOutput.newLine(); + + // Observed mean difference + aOutput.writeString(ScResId(STR_OBSERVED_MEAN_DIFFERENCE_LABEL)); + aOutput.nextColumn(); + aTemplate.setTemplate("=AVERAGE(IF(ISODD(IF(ISNUMBER(%VARIABLE1_RANGE%); 1; 0) * IF(ISNUMBER(%VARIABLE2_RANGE%); 1; 0)); %VARIABLE1_RANGE% - %VARIABLE2_RANGE%; \"NA\"))"); + aOutput.writeMatrixFormula(aTemplate.getTemplate()); + aTemplate.autoReplaceAddress("%OBSERVED_MEAN_DIFFERENCE%", aOutput.current()); + aOutput.newLine(); + + // Variance of the Differences + aOutput.writeString(ScResId(STR_TTEST_VARIANCE_OF_THE_DIFFERENCES)); + aOutput.nextColumn(); + aTemplate.setTemplate("=VAR(IF(ISODD(IF(ISNUMBER(%VARIABLE1_RANGE%); 1; 0) * IF(ISNUMBER(%VARIABLE2_RANGE%); 1; 0)); %VARIABLE1_RANGE% - %VARIABLE2_RANGE%; \"NA\"))"); + aOutput.writeMatrixFormula(aTemplate.getTemplate()); + aTemplate.autoReplaceAddress("%VARIANCE_OF_DIFFERENCES%", aOutput.current()); + aOutput.newLine(); + + // df + aOutput.writeString(ScResId(STR_ANOVA_LABEL_DF)); + aOutput.nextColumn(); + aTemplate.setTemplate("=SUM(IF(ISNUMBER(%VARIABLE1_RANGE%); 1; 0) * IF(ISNUMBER(%VARIABLE2_RANGE%); 1; 0)) - 1"); + aOutput.writeMatrixFormula(aTemplate.getTemplate()); + aTemplate.autoReplaceAddress("%DEGREE_OF_FREEDOM%", aOutput.current()); + aOutput.newLine(); + + // t stat + aOutput.writeString(ScResId(STR_TTEST_T_STAT)); + aOutput.nextColumn(); + aTemplate.setTemplate("=(%OBSERVED_MEAN_DIFFERENCE% - %HYPOTHESIZED_MEAN_DIFFERENCE%) / (%VARIANCE_OF_DIFFERENCES% / ( %DEGREE_OF_FREEDOM% + 1)) ^ 0.5"); + aOutput.writeFormula(aTemplate.getTemplate()); + aTemplate.autoReplaceAddress("%T_STAT%", aOutput.current()); + aOutput.newLine(); + + // P one-tail + aOutput.writeString(ScResId(STR_TTEST_P_ONE_TAIL)); + aOutput.nextColumn(); + aTemplate.setTemplate("=TDIST(ABS(%T_STAT%); %DEGREE_OF_FREEDOM%; 1)"); + aOutput.writeFormula(aTemplate.getTemplate()); + aOutput.newLine(); + + // T critical one-tail + aOutput.writeString(ScResId(STR_TTEST_T_CRITICAL_ONE_TAIL)); + aOutput.nextColumn(); + aTemplate.setTemplate("=TINV(2*%ALPHA%; %DEGREE_OF_FREEDOM%)"); + aOutput.writeFormula(aTemplate.getTemplate()); + aOutput.newLine(); + + // P two-tail + aOutput.writeString(ScResId(STR_TTEST_P_TWO_TAIL)); + aOutput.nextColumn(); + aTemplate.setTemplate("=TDIST(ABS(%T_STAT%); %DEGREE_OF_FREEDOM%; 2)"); + aOutput.writeFormula(aTemplate.getTemplate()); + aOutput.newLine(); + + // T critical two-tail + aOutput.writeString(ScResId(STR_TTEST_T_CRITICAL_TWO_TAIL)); + aOutput.nextColumn(); + aTemplate.setTemplate("=TINV(%ALPHA%; %DEGREE_OF_FREEDOM%)"); + aOutput.writeFormula(aTemplate.getTemplate()); + + return ScRange(aOutput.mMinimumAddress, aOutput.mMaximumAddress); +} + +/* vim:set shiftwidth=4 softtabstop=4 expandtab: */ |