Differential D23247 Diff 64001 src/backend/generalTest/HypothesisTest.cpp

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src/backend/generalTest/HypothesisTest.cpp

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32#include "backend/core/column/Column.h" 32​#include "backend/core/column/Column.h"
33#include "backend/lib/macros.h" 33​#include "backend/lib/macros.h"
34 34​
35​#include "backend/generalTest/MyTableModel.h"
36​
35#include <QStandardItemModel> 37​#include <QStandardItemModel>
36#include <QLabel> 38​#include <QLabel>
37#include <QTableView> 39​#include <QTableView>
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126 128​
127 if (!calculateStats) { 129​ if (!calculateStats) {
128 if (testSubtype(test) == TwoSampleIndependent) { 130​ if (testSubtype(test) == TwoSampleIndependent) {
129 m_inputStatsTableModel->setRowCount(2); 131​ m_inputStatsTableModel->setRowCount(3);
130 m_inputStatsTableModel->setColumnCount(4); 132​ m_inputStatsTableModel->setColumnCount(5);
131 m_inputStatsTableModel->setHorizontalHeaderLabels( 133​
132 {i18n("N"), i18n("Sum"), i18n("Mean"), i18n("Standard Deviation")}); 134​ m_inputStatsTableModel->setData(m_inputStatsTableModel->index(0, 1), i18n("N"));
135​ m_inputStatsTableModel->setData(m_inputStatsTableModel->index(0, 2), i18n("Sum"));
136​ m_inputStatsTableModel->setData(m_inputStatsTableModel->index(0, 3), i18n("Mean"));
137​ m_inputStatsTableModel->setData(m_inputStatsTableModel->index(0, 4), i18n("Standard Deviation"));
138​
139​ for (int i = 1; i < 5; i++)
140​ m_inputStatsTableModel->item(0, i)->setEditable(false);
141​
142​ m_inputStatsTableModel->setData(m_inputStatsTableModel->index(1, 0), i18n("Row 1"));
143​ m_inputStatsTableModel->setData(m_inputStatsTableModel->index(2, 0), i18n("Row 2"));
133 } 144​ }
134 } 145​ }
135 146​
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162 QString textValue; 173​ QString textValue;
163 QDEBUG("m_inputStatsTable row and column count " << m_inputStatsTableModel->rowCount() << m_inputStatsTableModel->columnCount()); 174​ QDEBUG("m_inputStatsTable row and column count " << m_inputStatsTableModel->rowCount() << m_inputStatsTableModel->columnCount());
164 175​
165 for (int i = 0; i < 2; i++) { 176​ for (int i = 1; i < 3; i++) {
166 n[i] = m_inputStatsTableModel->data(m_inputStatsTableModel->index(i, 0)).toInt(); 177​ n[i - 1] = m_inputStatsTableModel->data(m_inputStatsTableModel->index(i, 1)).toInt();
167 sum[i] = m_inputStatsTableModel->data(m_inputStatsTableModel->index(i, 1)).toDouble(); 178​ sum[i - 1] = m_inputStatsTableModel->data(m_inputStatsTableModel->index(i, 2)).toDouble();
168 mean[i] = m_inputStatsTableModel->data(m_inputStatsTableModel->index(i, 2)).toDouble(); 179​ mean[i - 1] = m_inputStatsTableModel->data(m_inputStatsTableModel->index(i, 3)).toDouble();
169 std[i] = m_inputStatsTableModel->data(m_inputStatsTableModel->index(i, 3)).toDouble(); 180​ std[i - 1] = m_inputStatsTableModel->data(m_inputStatsTableModel->index(i, 4)).toDouble();
170 181​
171 if (sum[i] == 0.0) 182​ if (sum[i] == 0.0)
172 sum[i] = mean[i] * n[i]; 183​ sum[i] = mean[i] * n[i];
184​
173 if (mean[i] == 0.0 && n[i] > 0) 185​ if (mean[i] == 0.0 && n[i] > 0)
174 mean[i] = sum[i] / n[i]; 186​ mean[i] = sum[i] / n[i];
175 ​
176 col1Name = "1"; ​
177 col2Name = "2"; ​
178 } 187​ }
188​ col1Name = m_inputStatsTableModel->data(m_inputStatsTableModel->index(1, 0)).toString();
189​ col2Name = m_inputStatsTableModel->data(m_inputStatsTableModel->index(2, 0)).toString();
179 } else { 190​ } else {
180 if (m_columns.size() != 2) { 191​ if (m_columns.size() != 2) {
181 printError("Inappropriate number of m_columns selected"); 192​ printError("Inappropriate number of m_columns selected");
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