1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
|
/* -*- 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* pViewData ) :
ScStatisticsTwoVariableDialog(
pSfxBindings, pChildWindow, pParent, pViewData,
"modules/scalc/ui/ztestdialog.ui", "ZTestDialog")
{
m_xDialog->set_title(ScResId(STR_ZTEST));
}
ScZTestDialog::~ScZTestDialog()
{}
void ScZTestDialog::Close()
{
DoClose( ScZTestDialogWrapper::GetChildWindowId() );
}
const char* 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(ScResId(STR_ZTEST));
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();
// 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("%KNOWN_VARIANCE_VARIABLE1%", aOutput.current());
aOutput.nextColumn();
aOutput.writeValue(0);
aTemplate.autoReplaceAddress("%KNOWN_VARIANCE_VARIABLE2%", aOutput.current());
aOutput.newLine();
// Mean
aOutput.writeString(ScResId(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(ScResId(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(ScResId(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(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("%Z_STAT%", 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: */
|
