/src/libreoffice/sc/source/ui/StatisticsDialogs/AnalysisOfVarianceDialog.cxx
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1 | | /* -*- Mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */ |
2 | | /* |
3 | | * This file is part of the LibreOffice project. |
4 | | * |
5 | | * This Source Code Form is subject to the terms of the Mozilla Public |
6 | | * License, v. 2.0. If a copy of the MPL was not distributed with this |
7 | | * file, You can obtain one at http://mozilla.org/MPL/2.0/. |
8 | | * |
9 | | */ |
10 | | |
11 | | #include <memory> |
12 | | #include <string_view> |
13 | | |
14 | | #include <rangelst.hxx> |
15 | | #include <reffact.hxx> |
16 | | #include <TableFillingAndNavigationTools.hxx> |
17 | | #include <AnalysisOfVarianceDialog.hxx> |
18 | | #include <scresid.hxx> |
19 | | #include <strings.hrc> |
20 | | |
21 | | namespace |
22 | | { |
23 | | |
24 | | struct StatisticCalculation { |
25 | | TranslateId aLabelId; |
26 | | const char* aFormula; |
27 | | const char* aResultRangeName; |
28 | | }; |
29 | | |
30 | | StatisticCalculation const lclBasicStatistics[] = |
31 | | { |
32 | | { STR_ANOVA_LABEL_GROUPS, nullptr, nullptr }, |
33 | | { STRID_CALC_COUNT, "=COUNT(%RANGE%)", "COUNT_RANGE" }, |
34 | | { STRID_CALC_SUM, "=SUM(%RANGE%)", "SUM_RANGE" }, |
35 | | { STRID_CALC_MEAN, "=AVERAGE(%RANGE%)", "MEAN_RANGE" }, |
36 | | { STRID_CALC_VARIANCE, "=VAR(%RANGE%)", "VAR_RANGE" }, |
37 | | { {}, nullptr, nullptr } |
38 | | }; |
39 | | |
40 | | const TranslateId lclAnovaLabels[] = |
41 | | { |
42 | | STR_ANOVA_LABEL_SOURCE_OF_VARIATION, |
43 | | STR_ANOVA_LABEL_SS, |
44 | | STR_ANOVA_LABEL_DF, |
45 | | STR_ANOVA_LABEL_MS, |
46 | | STR_ANOVA_LABEL_F, |
47 | | STR_ANOVA_LABEL_P_VALUE, |
48 | | STR_ANOVA_LABEL_F_CRITICAL, |
49 | | {} |
50 | | }; |
51 | | |
52 | | constexpr OUString strWildcardRange = u"%RANGE%"_ustr; |
53 | | |
54 | | OUString lclCreateMultiParameterFormula( |
55 | | ScRangeList& aRangeList, const OUString& aFormulaTemplate, |
56 | | std::u16string_view aWildcard, const ScDocument& rDocument, |
57 | | const ScAddress::Details& aAddressDetails) |
58 | 0 | { |
59 | 0 | OUStringBuffer aResult; |
60 | 0 | for (size_t i = 0; i < aRangeList.size(); i++) |
61 | 0 | { |
62 | 0 | OUString aRangeString(aRangeList[i].Format(rDocument, ScRefFlags::RANGE_ABS_3D, aAddressDetails)); |
63 | 0 | OUString aFormulaString = aFormulaTemplate.replaceAll(aWildcard, aRangeString); |
64 | 0 | aResult.append(aFormulaString); |
65 | 0 | if(i != aRangeList.size() - 1) // Not Last |
66 | 0 | aResult.append(";"); |
67 | 0 | } |
68 | 0 | return aResult.makeStringAndClear(); |
69 | 0 | } |
70 | | |
71 | | void lclMakeSubRangesList(ScRangeList& rRangeList, const ScRange& rInputRange, ScStatisticsInputOutputDialog::GroupedBy aGroupedBy) |
72 | 0 | { |
73 | 0 | std::unique_ptr<DataRangeIterator> pIterator; |
74 | 0 | if (aGroupedBy == ScStatisticsInputOutputDialog::BY_COLUMN) |
75 | 0 | pIterator.reset(new DataRangeByColumnIterator(rInputRange)); |
76 | 0 | else |
77 | 0 | pIterator.reset(new DataRangeByRowIterator(rInputRange)); |
78 | |
|
79 | 0 | for( ; pIterator->hasNext(); pIterator->next() ) |
80 | 0 | { |
81 | 0 | ScRange aRange = pIterator->get(); |
82 | 0 | rRangeList.push_back(aRange); |
83 | 0 | } |
84 | 0 | } |
85 | | |
86 | | } |
87 | | |
88 | | ScAnalysisOfVarianceDialog::ScAnalysisOfVarianceDialog( |
89 | | SfxBindings* pSfxBindings, SfxChildWindow* pChildWindow, |
90 | | weld::Window* pParent, ScViewData& rViewData ) |
91 | 0 | : ScStatisticsInputOutputDialog( |
92 | 0 | pSfxBindings, pChildWindow, pParent, rViewData, |
93 | 0 | u"modules/scalc/ui/analysisofvariancedialog.ui"_ustr, |
94 | 0 | u"AnalysisOfVarianceDialog"_ustr) |
95 | 0 | , meFactor(SINGLE_FACTOR) |
96 | 0 | , mxAlphaField(m_xBuilder->weld_spin_button(u"alpha-spin"_ustr)) |
97 | 0 | , mxSingleFactorRadio(m_xBuilder->weld_radio_button(u"radio-single-factor"_ustr)) |
98 | 0 | , mxTwoFactorRadio(m_xBuilder->weld_radio_button(u"radio-two-factor"_ustr)) |
99 | 0 | , mxRowsPerSampleField(m_xBuilder->weld_spin_button(u"rows-per-sample-spin"_ustr)) |
100 | 0 | { |
101 | 0 | mxSingleFactorRadio->connect_toggled( LINK( this, ScAnalysisOfVarianceDialog, FactorChanged ) ); |
102 | 0 | mxTwoFactorRadio->connect_toggled( LINK( this, ScAnalysisOfVarianceDialog, FactorChanged ) ); |
103 | |
|
104 | 0 | mxSingleFactorRadio->set_active(true); |
105 | 0 | mxTwoFactorRadio->set_active(false); |
106 | |
|
107 | 0 | FactorChanged(); |
108 | 0 | } |
109 | | |
110 | | ScAnalysisOfVarianceDialog::~ScAnalysisOfVarianceDialog() |
111 | 0 | { |
112 | 0 | } |
113 | | |
114 | | void ScAnalysisOfVarianceDialog::Close() |
115 | 0 | { |
116 | 0 | DoClose( ScAnalysisOfVarianceDialogWrapper::GetChildWindowId() ); |
117 | 0 | } |
118 | | |
119 | | TranslateId ScAnalysisOfVarianceDialog::GetUndoNameId() |
120 | 0 | { |
121 | 0 | return STR_ANALYSIS_OF_VARIANCE_UNDO_NAME; |
122 | 0 | } |
123 | | |
124 | | IMPL_LINK_NOARG( ScAnalysisOfVarianceDialog, FactorChanged, weld::Toggleable&, void ) |
125 | 0 | { |
126 | 0 | FactorChanged(); |
127 | 0 | } |
128 | | |
129 | | void ScAnalysisOfVarianceDialog::FactorChanged() |
130 | 0 | { |
131 | 0 | if (mxSingleFactorRadio->get_active()) |
132 | 0 | { |
133 | 0 | mxGroupByRowsRadio->set_sensitive(true); |
134 | 0 | mxGroupByColumnsRadio->set_sensitive(true); |
135 | 0 | mxRowsPerSampleField->set_sensitive(false); |
136 | 0 | meFactor = SINGLE_FACTOR; |
137 | 0 | } |
138 | 0 | else if (mxTwoFactorRadio->get_active()) |
139 | 0 | { |
140 | 0 | mxGroupByRowsRadio->set_sensitive(false); |
141 | 0 | mxGroupByColumnsRadio->set_sensitive(false); |
142 | 0 | mxRowsPerSampleField->set_sensitive(false); // Rows per sample not yet implemented |
143 | 0 | meFactor = TWO_FACTOR; |
144 | 0 | } |
145 | 0 | } |
146 | | |
147 | | void ScAnalysisOfVarianceDialog::RowColumn(ScRangeList& rRangeList, AddressWalkerWriter& aOutput, FormulaTemplate& aTemplate, |
148 | | const OUString& sFormula, GroupedBy aGroupedBy, ScRange* pResultRange) |
149 | 0 | { |
150 | 0 | if (pResultRange != nullptr) |
151 | 0 | pResultRange->aStart = aOutput.current(); |
152 | 0 | if (!sFormula.isEmpty()) |
153 | 0 | { |
154 | 0 | for (size_t i = 0; i < rRangeList.size(); i++) |
155 | 0 | { |
156 | 0 | ScRange const & rRange = rRangeList[i]; |
157 | 0 | aTemplate.setTemplate(sFormula); |
158 | 0 | aTemplate.applyRange(strWildcardRange, rRange); |
159 | 0 | aOutput.writeFormula(aTemplate.getTemplate()); |
160 | 0 | if (pResultRange != nullptr) |
161 | 0 | pResultRange->aEnd = aOutput.current(); |
162 | 0 | aOutput.nextRow(); |
163 | 0 | } |
164 | 0 | } |
165 | 0 | else |
166 | 0 | { |
167 | 0 | TranslateId pLabelId = (aGroupedBy == BY_COLUMN) ? STR_COLUMN_LABEL_TEMPLATE : STR_ROW_LABEL_TEMPLATE; |
168 | 0 | OUString aLabelTemplate(ScResId(pLabelId)); |
169 | |
|
170 | 0 | for (size_t i = 0; i < rRangeList.size(); i++) |
171 | 0 | { |
172 | 0 | aTemplate.setTemplate(aLabelTemplate); |
173 | 0 | aTemplate.applyNumber(u"%NUMBER%", i + 1); |
174 | 0 | aOutput.writeString(aTemplate.getTemplate()); |
175 | 0 | if (pResultRange != nullptr) |
176 | 0 | pResultRange->aEnd = aOutput.current(); |
177 | 0 | aOutput.nextRow(); |
178 | 0 | } |
179 | 0 | } |
180 | 0 | } |
181 | | |
182 | | void ScAnalysisOfVarianceDialog::AnovaSingleFactor(AddressWalkerWriter& output, FormulaTemplate& aTemplate) |
183 | 0 | { |
184 | 0 | output.writeBoldString(ScResId(STR_ANOVA_SINGLE_FACTOR_LABEL)); |
185 | 0 | output.newLine(); |
186 | |
|
187 | 0 | double aAlphaValue = mxAlphaField->get_value() / 100.0; |
188 | 0 | output.writeString(ScResId(STR_LABEL_ALPHA)); |
189 | 0 | output.nextColumn(); |
190 | 0 | output.writeValue(aAlphaValue); |
191 | 0 | aTemplate.autoReplaceAddress(u"%ALPHA%"_ustr, output.current()); |
192 | 0 | output.newLine(); |
193 | 0 | output.newLine(); |
194 | | |
195 | | // Write labels |
196 | 0 | for(sal_Int32 i = 0; lclBasicStatistics[i].aLabelId; i++) |
197 | 0 | { |
198 | 0 | output.writeString(ScResId(lclBasicStatistics[i].aLabelId)); |
199 | 0 | output.nextColumn(); |
200 | 0 | } |
201 | 0 | output.newLine(); |
202 | | |
203 | | // Collect aRangeList |
204 | 0 | ScRangeList aRangeList; |
205 | 0 | lclMakeSubRangesList(aRangeList, mInputRange, mGroupedBy); |
206 | |
|
207 | 0 | output.push(); |
208 | | |
209 | | // Write values |
210 | 0 | for(sal_Int32 i = 0; lclBasicStatistics[i].aLabelId; i++) |
211 | 0 | { |
212 | 0 | output.resetRow(); |
213 | 0 | ScRange aResultRange; |
214 | 0 | OUString sFormula = OUString::createFromAscii(lclBasicStatistics[i].aFormula); |
215 | 0 | RowColumn(aRangeList, output, aTemplate, sFormula, mGroupedBy, &aResultRange); |
216 | 0 | output.nextColumn(); |
217 | 0 | if (lclBasicStatistics[i].aResultRangeName != nullptr) |
218 | 0 | { |
219 | 0 | OUString sResultRangeName = OUString::createFromAscii(lclBasicStatistics[i].aResultRangeName); |
220 | 0 | aTemplate.autoReplaceRange("%" + sResultRangeName + "%", aResultRange); |
221 | 0 | } |
222 | 0 | } |
223 | |
|
224 | 0 | output.nextRow(); // Blank row |
225 | | |
226 | | // Write ANOVA labels |
227 | 0 | output.resetColumn(); |
228 | 0 | for(sal_Int32 i = 0; lclAnovaLabels[i]; i++) |
229 | 0 | { |
230 | 0 | output.writeString(ScResId(lclAnovaLabels[i])); |
231 | 0 | output.nextColumn(); |
232 | 0 | } |
233 | 0 | output.nextRow(); |
234 | |
|
235 | 0 | aTemplate.autoReplaceRange(u"%FIRST_COLUMN%"_ustr, aRangeList[0]); |
236 | | |
237 | | // Between Groups |
238 | 0 | { |
239 | | // Label |
240 | 0 | output.resetColumn(); |
241 | 0 | output.writeString(ScResId(STR_ANOVA_LABEL_BETWEEN_GROUPS)); |
242 | 0 | output.nextColumn(); |
243 | | |
244 | | // Sum of Squares |
245 | 0 | aTemplate.setTemplate("=SUMPRODUCT(%SUM_RANGE%;%MEAN_RANGE%)-SUM(%SUM_RANGE%)^2/SUM(%COUNT_RANGE%)"); |
246 | 0 | aTemplate.autoReplaceAddress(u"%BETWEEN_SS%"_ustr, output.current()); |
247 | 0 | output.writeFormula(aTemplate.getTemplate()); |
248 | 0 | output.nextColumn(); |
249 | | |
250 | | // Degree of freedom |
251 | 0 | aTemplate.setTemplate("=COUNT(%SUM_RANGE%)-1"); |
252 | 0 | aTemplate.autoReplaceAddress(u"%BETWEEN_DF%"_ustr, output.current()); |
253 | 0 | output.writeFormula(aTemplate.getTemplate()); |
254 | 0 | output.nextColumn(); |
255 | | |
256 | | // MS |
257 | 0 | aTemplate.setTemplate("=%BETWEEN_SS% / %BETWEEN_DF%"); |
258 | 0 | aTemplate.autoReplaceAddress(u"%BETWEEN_MS%"_ustr, output.current()); |
259 | 0 | output.writeFormula(aTemplate.getTemplate()); |
260 | 0 | output.nextColumn(); |
261 | | |
262 | | // F |
263 | 0 | aTemplate.setTemplate("=%BETWEEN_MS% / %WITHIN_MS%"); |
264 | 0 | aTemplate.applyAddress(u"%WITHIN_MS%", output.current(-1, 1)); |
265 | 0 | aTemplate.autoReplaceAddress(u"%F_VAL%"_ustr, output.current()); |
266 | 0 | output.writeFormula(aTemplate.getTemplate()); |
267 | 0 | output.nextColumn(); |
268 | | |
269 | | // P-value |
270 | 0 | aTemplate.setTemplate("=FDIST(%F_VAL%; %BETWEEN_DF%; %WITHIN_DF%"); |
271 | 0 | aTemplate.applyAddress(u"%WITHIN_DF%", output.current(-3, 1)); |
272 | 0 | output.writeFormula(aTemplate.getTemplate()); |
273 | 0 | output.nextColumn(); |
274 | | |
275 | | // F critical |
276 | 0 | aTemplate.setTemplate("=FINV(%ALPHA%; %BETWEEN_DF%; %WITHIN_DF%"); |
277 | 0 | aTemplate.applyAddress(u"%WITHIN_DF%", output.current(-4, 1)); |
278 | 0 | output.writeFormula(aTemplate.getTemplate()); |
279 | 0 | } |
280 | 0 | output.nextRow(); |
281 | | |
282 | | // Within Groups |
283 | 0 | { |
284 | | // Label |
285 | 0 | output.resetColumn(); |
286 | 0 | output.writeString(ScResId(STR_ANOVA_LABEL_WITHIN_GROUPS)); |
287 | 0 | output.nextColumn(); |
288 | | |
289 | | // Sum of Squares |
290 | 0 | OUString aSSPart = lclCreateMultiParameterFormula(aRangeList, u"DEVSQ(%RANGE%)"_ustr, strWildcardRange, mDocument, mAddressDetails); |
291 | 0 | aTemplate.setTemplate("=SUM(%RANGE%)"); |
292 | 0 | aTemplate.applyString(strWildcardRange, aSSPart); |
293 | 0 | aTemplate.autoReplaceAddress(u"%WITHIN_SS%"_ustr, output.current()); |
294 | 0 | output.writeFormula(aTemplate.getTemplate()); |
295 | 0 | output.nextColumn(); |
296 | | |
297 | | // Degree of freedom |
298 | 0 | aTemplate.setTemplate("=SUM(%COUNT_RANGE%)-COUNT(%COUNT_RANGE%)"); |
299 | 0 | aTemplate.autoReplaceAddress(u"%WITHIN_DF%"_ustr, output.current()); |
300 | 0 | output.writeFormula(aTemplate.getTemplate()); |
301 | 0 | output.nextColumn(); |
302 | | |
303 | | // MS |
304 | 0 | aTemplate.setTemplate("=%WITHIN_SS% / %WITHIN_DF%"); |
305 | 0 | output.writeFormula(aTemplate.getTemplate()); |
306 | 0 | } |
307 | 0 | output.nextRow(); |
308 | | |
309 | | // Total |
310 | 0 | { |
311 | | // Label |
312 | 0 | output.resetColumn(); |
313 | 0 | output.writeString(ScResId(STR_ANOVA_LABEL_TOTAL)); |
314 | 0 | output.nextColumn(); |
315 | | |
316 | | // Sum of Squares |
317 | 0 | aTemplate.setTemplate("=DEVSQ(%RANGE_LIST%)"); |
318 | 0 | aTemplate.applyRangeList(u"%RANGE_LIST%", aRangeList, ';'); |
319 | 0 | output.writeFormula(aTemplate.getTemplate()); |
320 | 0 | output.nextColumn(); |
321 | | |
322 | | // Degree of freedom |
323 | 0 | aTemplate.setTemplate("=SUM(%COUNT_RANGE%) - 1"); |
324 | 0 | output.writeFormula(aTemplate.getTemplate()); |
325 | 0 | } |
326 | 0 | output.nextRow(); |
327 | 0 | } |
328 | | |
329 | | void ScAnalysisOfVarianceDialog::AnovaTwoFactor(AddressWalkerWriter& output, FormulaTemplate& aTemplate) |
330 | 0 | { |
331 | 0 | output.writeBoldString(ScResId(STR_ANOVA_TWO_FACTOR_LABEL)); |
332 | 0 | output.newLine(); |
333 | |
|
334 | 0 | double aAlphaValue = mxAlphaField->get_value() / 100.0; |
335 | 0 | output.writeString("Alpha"); |
336 | 0 | output.nextColumn(); |
337 | 0 | output.writeValue(aAlphaValue); |
338 | 0 | aTemplate.autoReplaceAddress(u"%ALPHA%"_ustr, output.current()); |
339 | 0 | output.newLine(); |
340 | 0 | output.newLine(); |
341 | | |
342 | | // Write labels |
343 | 0 | for(sal_Int32 i = 0; lclBasicStatistics[i].aLabelId; i++) |
344 | 0 | { |
345 | 0 | output.writeString(ScResId(lclBasicStatistics[i].aLabelId)); |
346 | 0 | output.nextColumn(); |
347 | 0 | } |
348 | 0 | output.newLine(); |
349 | |
|
350 | 0 | ScRangeList aColumnRangeList; |
351 | 0 | ScRangeList aRowRangeList; |
352 | |
|
353 | 0 | lclMakeSubRangesList(aColumnRangeList, mInputRange, BY_COLUMN); |
354 | 0 | lclMakeSubRangesList(aRowRangeList, mInputRange, BY_ROW); |
355 | | |
356 | | // Write ColumnX values |
357 | 0 | output.push(); |
358 | 0 | for(sal_Int32 i = 0; lclBasicStatistics[i].aLabelId; i++) |
359 | 0 | { |
360 | 0 | output.resetRow(); |
361 | 0 | ScRange aResultRange; |
362 | 0 | OUString sFormula = OUString::createFromAscii(lclBasicStatistics[i].aFormula); |
363 | 0 | RowColumn(aColumnRangeList, output, aTemplate, sFormula, BY_COLUMN, &aResultRange); |
364 | 0 | if (lclBasicStatistics[i].aResultRangeName != nullptr) |
365 | 0 | { |
366 | 0 | OUString sResultRangeName = OUString::createFromAscii(lclBasicStatistics[i].aResultRangeName); |
367 | 0 | aTemplate.autoReplaceRange("%" + sResultRangeName + "_COLUMN%", aResultRange); |
368 | 0 | } |
369 | 0 | output.nextColumn(); |
370 | 0 | } |
371 | 0 | output.newLine(); |
372 | | |
373 | | // Write RowX values |
374 | 0 | output.push(); |
375 | 0 | for(sal_Int32 i = 0; lclBasicStatistics[i].aLabelId; i++) |
376 | 0 | { |
377 | 0 | output.resetRow(); |
378 | 0 | ScRange aResultRange; |
379 | 0 | OUString sFormula = OUString::createFromAscii(lclBasicStatistics[i].aFormula); |
380 | 0 | RowColumn(aRowRangeList, output, aTemplate, sFormula, BY_ROW, &aResultRange); |
381 | |
|
382 | 0 | if (lclBasicStatistics[i].aResultRangeName != nullptr) |
383 | 0 | { |
384 | 0 | OUString sResultRangeName = OUString::createFromAscii(lclBasicStatistics[i].aResultRangeName); |
385 | 0 | aTemplate.autoReplaceRange("%" + sResultRangeName + "_ROW%", aResultRange); |
386 | 0 | } |
387 | 0 | output.nextColumn(); |
388 | 0 | } |
389 | 0 | output.newLine(); |
390 | | |
391 | | // Write ANOVA labels |
392 | 0 | for(sal_Int32 i = 0; lclAnovaLabels[i]; i++) |
393 | 0 | { |
394 | 0 | output.writeString(ScResId(lclAnovaLabels[i])); |
395 | 0 | output.nextColumn(); |
396 | 0 | } |
397 | 0 | output.nextRow(); |
398 | | |
399 | | // Setup auto-replace strings |
400 | 0 | aTemplate.autoReplaceRange(strWildcardRange, mInputRange); |
401 | 0 | aTemplate.autoReplaceRange(u"%FIRST_COLUMN%"_ustr, aColumnRangeList[0]); |
402 | 0 | aTemplate.autoReplaceRange(u"%FIRST_ROW%"_ustr, aRowRangeList[0]); |
403 | | |
404 | | // Rows |
405 | 0 | { |
406 | | // Label |
407 | 0 | output.resetColumn(); |
408 | 0 | output.writeString("Rows"); |
409 | 0 | output.nextColumn(); |
410 | | |
411 | | // Sum of Squares |
412 | 0 | aTemplate.setTemplate("=SUMPRODUCT(%SUM_RANGE_ROW%;%MEAN_RANGE_ROW%) - SUM(%RANGE%)^2 / COUNT(%RANGE%)"); |
413 | 0 | aTemplate.autoReplaceAddress(u"%ROW_SS%"_ustr, output.current()); |
414 | 0 | output.writeFormula(aTemplate.getTemplate()); |
415 | 0 | output.nextColumn(); |
416 | | |
417 | | // Degree of freedom |
418 | 0 | aTemplate.setTemplate("=MAX(%COUNT_RANGE_COLUMN%) - 1"); |
419 | 0 | aTemplate.autoReplaceAddress(u"%ROW_DF%"_ustr, output.current()); |
420 | 0 | output.writeFormula(aTemplate.getTemplate()); |
421 | 0 | output.nextColumn(); |
422 | | |
423 | | // MS |
424 | 0 | aTemplate.setTemplate("=%ROW_SS% / %ROW_DF%"); |
425 | 0 | aTemplate.autoReplaceAddress(u"%MS_ROW%"_ustr, output.current()); |
426 | 0 | output.writeFormula(aTemplate.getTemplate()); |
427 | 0 | output.nextColumn(); |
428 | | |
429 | | // F |
430 | 0 | aTemplate.setTemplate("=%MS_ROW% / %MS_ERROR%"); |
431 | 0 | aTemplate.applyAddress(u"%MS_ERROR%", output.current(-1, 2)); |
432 | 0 | aTemplate.autoReplaceAddress(u"%F_ROW%"_ustr, output.current()); |
433 | 0 | output.writeFormula(aTemplate.getTemplate()); |
434 | 0 | output.nextColumn(); |
435 | | |
436 | | // P-value |
437 | 0 | aTemplate.setTemplate("=FDIST(%F_ROW%; %ROW_DF%; %ERROR_DF%"); |
438 | 0 | aTemplate.applyAddress(u"%ERROR_DF%", output.current(-3, 2)); |
439 | 0 | output.writeFormula(aTemplate.getTemplate()); |
440 | 0 | output.nextColumn(); |
441 | | |
442 | | // F critical |
443 | 0 | aTemplate.setTemplate("=FINV(%ALPHA%; %ROW_DF%; %ERROR_DF%"); |
444 | 0 | aTemplate.applyAddress(u"%ERROR_DF%", output.current(-4, 2)); |
445 | 0 | output.writeFormula(aTemplate.getTemplate()); |
446 | 0 | output.nextColumn(); |
447 | 0 | } |
448 | 0 | output.nextRow(); |
449 | | |
450 | | // Columns |
451 | 0 | { |
452 | | // Label |
453 | 0 | output.resetColumn(); |
454 | 0 | output.writeString("Columns"); |
455 | 0 | output.nextColumn(); |
456 | | |
457 | | // Sum of Squares |
458 | 0 | aTemplate.setTemplate("=SUMPRODUCT(%SUM_RANGE_COLUMN%;%MEAN_RANGE_COLUMN%) - SUM(%RANGE%)^2 / COUNT(%RANGE%)"); |
459 | 0 | aTemplate.autoReplaceAddress(u"%COLUMN_SS%"_ustr, output.current()); |
460 | 0 | output.writeFormula(aTemplate.getTemplate()); |
461 | 0 | output.nextColumn(); |
462 | | |
463 | | // Degree of freedom |
464 | 0 | aTemplate.setTemplate("=MAX(%COUNT_RANGE_ROW%) - 1"); |
465 | 0 | aTemplate.autoReplaceAddress(u"%COLUMN_DF%"_ustr, output.current()); |
466 | 0 | output.writeFormula(aTemplate.getTemplate()); |
467 | 0 | output.nextColumn(); |
468 | | |
469 | | // MS |
470 | 0 | aTemplate.setTemplate("=%COLUMN_SS% / %COLUMN_DF%"); |
471 | 0 | aTemplate.autoReplaceAddress(u"%MS_COLUMN%"_ustr, output.current()); |
472 | 0 | output.writeFormula(aTemplate.getTemplate()); |
473 | 0 | output.nextColumn(); |
474 | | |
475 | | // F |
476 | 0 | aTemplate.setTemplate("=%MS_COLUMN% / %MS_ERROR%"); |
477 | 0 | aTemplate.applyAddress(u"%MS_ERROR%", output.current(-1, 1)); |
478 | 0 | aTemplate.autoReplaceAddress(u"%F_COLUMN%"_ustr, output.current()); |
479 | 0 | output.writeFormula(aTemplate.getTemplate()); |
480 | 0 | output.nextColumn(); |
481 | | |
482 | | // P-value |
483 | 0 | aTemplate.setTemplate("=FDIST(%F_COLUMN%; %COLUMN_DF%; %ERROR_DF%"); |
484 | 0 | aTemplate.applyAddress(u"%ERROR_DF%", output.current(-3, 1)); |
485 | 0 | output.writeFormula(aTemplate.getTemplate()); |
486 | 0 | output.nextColumn(); |
487 | | |
488 | | // F critical |
489 | 0 | aTemplate.setTemplate("=FINV(%ALPHA%; %COLUMN_DF%; %ERROR_DF%"); |
490 | 0 | aTemplate.applyAddress(u"%ERROR_DF%", output.current(-4, 1)); |
491 | 0 | output.writeFormula(aTemplate.getTemplate()); |
492 | 0 | output.nextColumn(); |
493 | 0 | } |
494 | 0 | output.nextRow(); |
495 | | |
496 | | // Error |
497 | 0 | { |
498 | | // Label |
499 | 0 | output.resetColumn(); |
500 | 0 | output.writeString("Error"); |
501 | 0 | output.nextColumn(); |
502 | | |
503 | | // Sum of Squares |
504 | 0 | aTemplate.setTemplate("=SUMSQ(%RANGE%)+SUM(%RANGE%)^2/COUNT(%RANGE%) - (SUMPRODUCT(%SUM_RANGE_ROW%;%MEAN_RANGE_ROW%) + SUMPRODUCT(%SUM_RANGE_COLUMN%;%MEAN_RANGE_COLUMN%))"); |
505 | 0 | aTemplate.autoReplaceAddress(u"%ERROR_SS%"_ustr, output.current()); |
506 | 0 | output.writeFormula(aTemplate.getTemplate()); |
507 | 0 | output.nextColumn(); |
508 | | |
509 | | // Degree of freedom |
510 | 0 | aTemplate.setTemplate("=%TOTAL_DF% - %ROW_DF% - %COLUMN_DF%"); |
511 | 0 | aTemplate.applyAddress(u"%TOTAL_DF%", output.current(0,1)); |
512 | 0 | aTemplate.autoReplaceAddress(u"%ERROR_DF%"_ustr, output.current()); |
513 | 0 | output.writeFormula(aTemplate.getTemplate()); |
514 | 0 | output.nextColumn(); |
515 | | |
516 | | // MS |
517 | 0 | aTemplate.setTemplate("=%ERROR_SS% / %ERROR_DF%"); |
518 | 0 | output.writeFormula(aTemplate.getTemplate()); |
519 | 0 | } |
520 | 0 | output.nextRow(); |
521 | | |
522 | | // Total |
523 | 0 | { |
524 | | // Label |
525 | 0 | output.resetColumn(); |
526 | 0 | output.writeString("Total"); |
527 | 0 | output.nextColumn(); |
528 | | |
529 | | // Sum of Squares |
530 | 0 | aTemplate.setTemplate("=SUM(%ROW_SS%;%COLUMN_SS%;%ERROR_SS%)"); |
531 | 0 | output.writeFormula(aTemplate.getTemplate()); |
532 | 0 | output.nextColumn(); |
533 | | |
534 | | // Degree of freedom |
535 | 0 | aTemplate.setTemplate("=COUNT(%RANGE%)-1"); |
536 | 0 | output.writeFormula(aTemplate.getTemplate()); |
537 | 0 | output.nextColumn(); |
538 | 0 | } |
539 | 0 | } |
540 | | |
541 | | ScRange ScAnalysisOfVarianceDialog::ApplyOutput(ScDocShell& rDocShell) |
542 | 0 | { |
543 | 0 | AddressWalkerWriter output(mOutputAddress, rDocShell, mDocument, |
544 | 0 | formula::FormulaGrammar::mergeToGrammar(formula::FormulaGrammar::GRAM_ENGLISH, mAddressDetails.eConv)); |
545 | 0 | FormulaTemplate aTemplate(&mDocument); |
546 | |
|
547 | 0 | if (meFactor == SINGLE_FACTOR) |
548 | 0 | { |
549 | 0 | AnovaSingleFactor(output, aTemplate); |
550 | 0 | } |
551 | 0 | else if (meFactor == TWO_FACTOR) |
552 | 0 | { |
553 | 0 | AnovaTwoFactor(output, aTemplate); |
554 | 0 | } |
555 | |
|
556 | 0 | return ScRange(output.mMinimumAddress, output.mMaximumAddress); |
557 | 0 | } |
558 | | |
559 | | /* vim:set shiftwidth=4 softtabstop=4 expandtab: */ |