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LazStats: Some refactoring of RIDITUnit.
git-svn-id: https://svn.code.sf.net/p/lazarus-ccr/svn@7831 8e941d3f-bd1b-0410-a28a-d453659cc2b4
This commit is contained in:
@ -78,9 +78,6 @@ type
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out ANumRows, ANumCols, ANumCases: Integer;
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out AFrequencies: IntDyneMat);
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procedure GetYatesCorrection(const AFrequencies: IntDyneMat;
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out AdjChiSqr: Double);
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procedure GetColProportions(const AFrequencies: IntDyneMat;
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out AProportions: DblDyneMat);
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@ -90,6 +87,9 @@ type
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procedure GetTotalProportions(const AFrequencies: IntDyneMat;
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out AProportions: DblDyneMat);
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procedure GetYatesCorrection(const AFrequencies: IntDyneMat;
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out AdjChiSqr: Double);
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procedure ProcessAndReportCellChiSqr(const ACellChiSqr: DblDyneMat;
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const ARowLabels, AColLabels: StrDyneVec; ANumCases: Integer);
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@ -63,6 +63,17 @@ type
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NoToAnalyze: integer; Freq: IntDyneMat; Props: DblDyneMat;
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NoRows: integer; AReport: TStrings);
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function CalcColProportions(const AFrequencies: IntDyneMat): DblDyneMat;
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function CalcRowProportions(const AFrequencies: IntDyneMat): DblDyneMat;
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procedure GetExpectedAndCellChiSqr(const AFrequencies: IntDyneMat;
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out AExpected, ACellChiSqr: DblDyneMat; out AChiSqr, AdjChiSqr: Double;
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out ADegreesOfFreedom: Integer; out AYates: Boolean);
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procedure GetFrequencies(const AColNoSelected: IntDyneVec;
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ANumRows, ANumCols: Integer;
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out ANumCases: Integer; out AFrequencies: IntDyneMat);
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protected
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procedure AdjustConstraints; override;
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procedure Compute; override;
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@ -84,7 +95,7 @@ implementation
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uses
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Math,
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Utils, GridProcs;
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Utils, GridProcs, MatrixUnit;
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{ TRIDITForm }
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@ -176,8 +187,9 @@ begin
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details := DetailsChk.Checked;
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AReport.Add('ANALYSIS FOR STANDARD %s', [ColLabels[RefCol]]);
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// AReport.Add('');
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AReport.Add('');
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{
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// print frequencies
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outline := 'Frequencies Observed';
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IntArrayPrint(Freq, NoRows, NoToAnalyze, 'Frequencies', RowLabels, ColLabels, outline, AReport);
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@ -185,6 +197,7 @@ begin
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// print column proportions
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outline := 'Column Proportions Observed';
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MatPrint(Props, NoRows, NoToAnalyze, outline, RowLabels, ColLabels, NoCases, AReport);
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}
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// Get sizes in each column
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for i := 0 to NoToAnalyze - 1 do
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@ -199,19 +212,27 @@ begin
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refprob[i,1] := Props[i,j] / 2.0;
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end;
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refprob[0,2] := 0.0;
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for i := 1 to NoRows - 1 do refprob[i,2] := refprob[i-1,2] + refprob[i-1,0];
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for i := 0 to NoRows - 1 do refprob[i,3] := refprob[i,1] + refprob[i,2];
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if (details) then // print calculations table
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// for i := 1 to NoRows - 1 do refprob[i,2] := refprob[i-1,2] + refprob[i-1,0];
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for i := 0 to NoRows - 2 do
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refprob[i+1, 2] := refprob[i, 2] + refprob[i, 0];
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for i := 0 to NoRows - 1 do
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refprob[i, 3] := refprob[i, 1] + refprob[i, 2];
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// Print calculations table
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if details then
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begin
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outline := 'Ridit calculations for ' + ColLabels[j];
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MatPrint(refprob, NoRows, 4, outline, RowLabels, ColLabels, NoCases, AReport);
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AReport.Add(DIVIDER_SMALL_AUTO);
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end;
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// store results in probdists
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for i := 0 to NoRows - 1 do probdists[i,j] := refprob[i,3];
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end;
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outline := 'Ridits for all variables';
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MatPrint(probdists, NoRows, NoToAnalyze, outline, RowLabels, ColLabels, NoCases, AReport);
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AReport.Add(DIVIDER_SMALL_AUTO);
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// obtain mean ridits for the all variables using the reference variable
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for i := 0 to NoToAnalyze - 1 do
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@ -225,6 +246,7 @@ begin
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// print the means using the reference variable
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outline := 'Mean RIDITS Using the Reference Values';
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DynVectorPrint(meanridits, NoToAnalyze, outline, ColLabels, NoCases, AReport);
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AReport.Add(DIVIDER_SMALL_AUTO);
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// obtain the weighted grand mean ridit
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OverMeanRidit := 0.0;
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@ -292,6 +314,60 @@ begin
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end;
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function TRIDITForm.CalcColProportions(const AFrequencies: IntDyneMat): DblDyneMat;
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var
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i, j, n, m, numRows, numCols: Integer;
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begin
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MatSize(AFrequencies, n,m);
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numRows := n-1;
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numCols := m-1;
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Result := nil;
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SetLength(Result, n,m);
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for j := 0 to numCols do
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begin
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for i := 0 to numRows-1 do
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begin
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if (AFrequencies[numRows, j] > 0.0) then
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Result[i, j] := AFrequencies[i, j] / AFrequencies[numRows, j]
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else
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Result[i, j] := 0.0;
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end;
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if (AFrequencies[numRows, j] > 0.0) then
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Result[numRows, j] := 1.0
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else
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Result[numRows, j] := 0.0;
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end;
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end;
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function TRIDITForm.CalcRowProportions(const AFrequencies: IntDyneMat): DblDyneMat;
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var
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i, j, n, m, numRows, numCols: Integer;
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begin
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MatSize(AFrequencies, n,m);
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numRows := n-1;
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numCols := m-1;
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Result := nil;
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SetLength(Result, n,m);
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for i := 0 to numRows do
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begin
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for j := 0 to numCols-1 do
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begin
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if (AFrequencies[i, numCols] > 0.0) then
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Result[i, j] := AFrequencies[i, j] / AFrequencies[i, numCols]
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else
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Result[i, j] := 0.0;
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end;
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if (AFrequencies[i, numCols] > 0.0) then
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Result[i, numCols] := 1.0
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else
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Result[i, numCols] := 0.0;
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end;
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end;
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procedure TRIDITForm.ColInClick(Sender: TObject);
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var
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i: integer;
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@ -352,7 +428,8 @@ end;
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procedure TRIDITForm.Compute;
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var
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Prop: DblDyneMat = nil;
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RowProp: DblDyneMat = nil;
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ColProp: DblDyneMat = nil;
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Expected: DblDyneMat = nil;
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CellChi: DblDyneMat = nil;
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ColNoSelected: IntDyneVec = nil;
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@ -361,7 +438,7 @@ var
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ColLabels: StrDyneVec = nil;
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AllRefs : boolean;
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i, j, RowNo, RefColNo, NoToAnalyze : integer;
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Row, Col, Ncases, Nrows, Ncols, df : integer;
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Ncases, Nrows, Ncols, df : integer;
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ChiSquare, ProbChi : double;
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yates : boolean;
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Adjchisqr, Adjprobchi: double;
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@ -397,105 +474,20 @@ begin
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ColLabels[i] := ColList.Items[i];
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ColNoSelected[i+1] := GetVariableIndex(OS3MainFrm.DataGrid, ColLabels[i]);
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end;
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// Allocate and initialize
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SetLength(Freq, NRows+1, NCols+1);
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SetLength(Prop, NRows+1, NCols+1);
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SetLength(Expected, NRows, NCols);
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SetLength(CellChi, NRows, NCols);
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for i := 1 to NRows + 1 do
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for j := 1 to NCols + 1 do
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Freq[i-1,j-1] := 0;
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RowLabels[NRows] := 'Total';
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ColLabels[NCols] := 'Total';
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// Get cell data
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NCases := 0;
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for i := 1 to NoCases do
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begin
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Row := i;
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for j := 1 to Ncols do
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begin
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Col := ColNoSelected[j];
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Freq[i-1,j-1] := StrToInt(OS3MainFrm.DataGrid.Cells[Col,Row]);
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// result := GetValue(Row,Col,intvalue,dblvalue,strvalue);
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// if (result = 1) Freq[i-1][j-1] := 0;
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// else Freq[i-1][j-1] := intvalue;
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Ncases := Ncases + Freq[i-1,j-1];
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end;
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end;
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Freq[Nrows][Ncols] := Ncases;
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// Get frequencies
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GetFrequencies(ColNoSelected, NRows, NCols, NCases, Freq);
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// Now, calculate expected values
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// Calculate expected values and cell chi-squares
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GetExpectedAndCellChiSqr(Freq, Expected, cellChi, chiSquare, AdjChiSqr, df, yates);
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probChi := 1.0 - ChiSquaredProb(ChiSquare, df); // prob. larger chi
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if yates then
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AdjProbChi := 1.0 - ChiSquaredProb(AdjChiSqr, df);
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// Get row totals first
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for i := 1 to Nrows do
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for j := 1 to Ncols do
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Freq[i-1,Ncols] := Freq[i-1,Ncols] + Freq[i-1,j-1];
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// Get col totals next
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for j := 1 to Ncols do
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for i := 1 to Nrows do
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Freq[Nrows,j-1] := Freq[Nrows,j-1] + Freq[i-1,j-1];
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// Then get expected values and cell chi-squares
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ChiSquare := 0.0;
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Adjchisqr := 0.0;
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yates := YatesChk.Checked and (NRows = 2) and (NCols = 2);
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if (NRows > 1) and (NCols > 1) then
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begin
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for i := 1 to NRows do
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begin
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for j := 1 to NCols do
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begin
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Expected[i-1,j-1] := Freq[NRows,j-1] * Freq[i-1,NCols] / Ncases;
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if (Expected[i-1,j-1] > 0.0) then
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CellChi[i-1,j-1] := sqr(Freq[i-1,j-1] - Expected[i-1,j-1])/ Expected[i-1,j-1]
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else
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begin
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ErrorMsg('Zero expected value found.');
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CellChi[i-1,j-1] := 0.0;
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end;
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ChiSquare := ChiSquare + CellChi[i-1,j-1];
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end;
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end;
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df := (NRows - 1) * (NCols - 1);
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if yates then // 2 x 2 corrected chi-square
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begin
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AdjChiSqr := abs((Freq[0,0] * Freq[1,1]) - (Freq[0,1] * Freq[1,0]));
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AdjChiSqr := sqr(AdjChiSqr - NCases / 2.0) * NCases; // numerator
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AdjChiSqr := AdjChiSqr / (Freq[0,2] * Freq[1,2] * Freq[2,0] * Freq[2,1]);
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AdjProbChi := 1.0 - ChiSquaredProb(AdjChiSqr, df);
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end;
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end;
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if (NRows = 1) then // equal probability
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begin
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for j := 0 to NCols - 1 do
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begin
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Expected[0,j] := NCases / NCols;
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if (Expected[0][j] > 0) then
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CellChi[0,j] := sqr(Freq[0,j] - Expected[0,j]) / Expected[0,j];
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ChiSquare := ChiSquare + CellChi[0,j];
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end;
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df := Ncols - 1;
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end;
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if (NCols = 1) then // equal probability
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begin
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for i := 0 to Nrows - 1 do
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begin
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Expected[i,0] := Ncases / Nrows;
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if (Expected[i,0] > 0) then
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CellChi[i,0] := sqr(Freq[i,0] - Expected[i,0]) / Expected[i,0];
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ChiSquare := ChiSquare + CellChi[i,0];
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end;
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df := Nrows - 1;
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end;
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ProbChi := 1.0 - ChiSquaredProb(ChiSquare, df); // prob. larger chi
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// Calculate column proportions (needed by Analyze() routine)
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ColProp := CalcColProportions(Freq);
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// Print results to output form
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lReport := TStringList.Create;
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@ -505,9 +497,6 @@ begin
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begin
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FrequenciesPage.TabVisible := true;
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lReport.Add('CHI-SQUARE ANALYSIS RESULTS');
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lReport.Add('No. of Cases: %d', [Ncases]);
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if ObsChk.Checked then
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begin
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IntArrayPrint(Freq, NRows+1, NCols+1, 'Frequencies', RowLabels, ColLabels, 'OBSERVED FREQUENCIES', lReport);
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@ -526,48 +515,19 @@ begin
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end else
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FrequenciesPage.TabVisible := false;
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// Print row/col properties
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// Print row/col proportions
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if PropChk.Checked then
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begin
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RowColPropsPage.TabVisible := true;
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lReport.Add('CHI-SQUARE ANALYSIS RESULTS');
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lReport.Add('No. of Cases: %d', [Ncases]);
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for i := 1 to NRows + 1 do
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begin
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for j := 1 to NCols do
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begin
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if (Freq[i-1,NCols] > 0.0) then
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Prop[i-1,j-1] := Freq[i-1,j-1] / Freq[i-1,NCols]
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else
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Prop[i-1,j-1] := 0.0;
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end;
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if (Freq[i-1,NCols] > 0.0) then
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Prop[i-1,NCols] := 1.0
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else
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Prop[i-1,NCols] := 0.0;
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end;
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MatPrint(Prop, Nrows+1, Ncols+1, 'ROW PROPORTIONS', RowLabels, ColLabels, NoCases, lReport);
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RowProp := CalcRowProportions(Freq);
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MatPrint(RowProp, NRows+1, NCols+1, 'ROW PROPORTIONS', RowLabels, ColLabels, NoCases, lReport);
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RowProp := nil; // not needed any more
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lReport.Add(DIVIDER_SMALL_AUTO);
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lReport.Add('');
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for j := 1 to Ncols + 1 do
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begin
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for i := 1 to Nrows do
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begin
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if (Freq[Nrows,j-1] > 0.0) then
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Prop[i-1,j-1] := Freq[i-1,j-1] / Freq[Nrows,j-1]
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else
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Prop[i-1,j-1] := 0.0;
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end;
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if (Freq[Nrows,j-1] > 0.0) then
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Prop[Nrows,j-1] := 1.0
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else
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Prop[Nrows,j-1] := 0.0;
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end;
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MatPrint(Prop, Nrows+1, Ncols+1, 'COLUMN PROPORTIONS', RowLabels, ColLabels, NoCases, lReport);
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MatPrint(ColProp, NRows+1, NCols+1, 'COLUMN PROPORTIONS', RowLabels, ColLabels, NoCases, lReport);
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FRowColPropsReportFrame.DisplayReport(lReport);
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lReport.Clear;
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@ -578,8 +538,6 @@ begin
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if ChiChk.Checked then
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begin
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CellChiSqrPage.TabVisible := true;
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lReport.Add('CHI-SQUARE ANALYSIS RESULTS');
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lReport.Add('No. of Cases: %d', [Ncases]);
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MatPrint(CellChi, Nrows, Ncols, 'CHI-SQUARED VALUE FOR CELLS', RowLabels, ColLabels, NoCases, lReport);
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FCellChiSqrReportFrame.DisplayReport(lReport);
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lReport.Clear;
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@ -593,13 +551,13 @@ begin
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lReport.Add('');
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lReport.Add( 'Chi-square: %8.3f', [ChiSquare]);
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lReport.Add( ' with D.F. %8d', [df]);
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lReport.Add( ' and Probability > value: %8.3f', [ProbChi]);
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lReport.Add( ' and probability > value: %8.3f', [ProbChi]);
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lReport.Add('');
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if yates then
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begin
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lReport.Add('Chi-square using Yates correction: %8.3f', [AdjChiSqr]);
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lReport.Add(' and Probability > value: %8.3f', [Adjprobchi]);
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lReport.Add(' and probability > value: %8.3f', [Adjprobchi]);
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end;
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likelihood := 0.0;
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@ -610,13 +568,13 @@ begin
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likelihood := -2.0 * likelihood;
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problikelihood := 1.0 - ChiSquaredProb(likelihood, df);
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lReport.Add( 'Likelihood Ratio: %8.3f', [likelihood]);
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lReport.Add( ' with Probability > value: %8.4f', [problikelihood]);
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lReport.Add( ' with probability > value: %8.4f', [problikelihood]);
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lReport.Add('');
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if ((Nrows > 1) and (Ncols > 1)) then
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begin
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phi := sqrt(ChiSquare / Ncases);
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lReport.Add('phi correlation: %8.4f', [phi]);
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lReport.Add('phi Correlation: %8.4f', [phi]);
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pearsonr := 0.0;
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SumX := 0.0;
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@ -664,26 +622,26 @@ begin
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for i := 0 to NoToAnalyze - 1 do
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begin
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RefColNo := ColNoSelected[i+1] - 2;
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Analyze(RefColNo, RowLabels,ColLabels, NoToAnalyze, Freq, Prop, Nrows, lReport);
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Analyze(RefColNo, RowLabels,ColLabels, NoToAnalyze, Freq, ColProp, Nrows, lReport);
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if i < NoToAnalyze-1 then
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begin
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lReport.Add('');
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lReport.Add(DIVIDER_SMALL_AUTO);
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// lReport.Add(DIVIDER_SMALL_AUTO);
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lReport.Add(DIVIDER_AUTO);
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lReport.Add('');
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end;
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end;
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end else
|
||||
end
|
||||
else
|
||||
// only one selected reference variable
|
||||
begin
|
||||
NoToAnalyze := ColList.Items.Count;
|
||||
// get column of reference variable
|
||||
for i := 1 to NoVariables do
|
||||
if (RefEdit.Text = OS3MainFrm.DataGrid.Cells[i,0]) then RefColNo := i;
|
||||
|
||||
for j := 0 to NoToAnalyze - 1 do
|
||||
if (ColNoSelected[j+1] = RefColNo) then RefColNo := j;
|
||||
|
||||
Analyze(RefColNo, RowLabels,ColLabels, NoToAnalyze, Freq, Prop, Nrows, lReport);
|
||||
Analyze(RefColNo, RowLabels,ColLabels, NoToAnalyze, Freq, ColProp, Nrows, lReport);
|
||||
end;
|
||||
|
||||
FReportFrame.DisplayReport(lReport);
|
||||
@ -694,6 +652,151 @@ begin
|
||||
end;
|
||||
|
||||
|
||||
procedure TRIDITForm.GetExpectedAndCellChiSqr(const AFrequencies: IntDyneMat;
|
||||
out AExpected, ACellChiSqr: DblDyneMat; out AChiSqr, AdjChiSqr: Double;
|
||||
out ADegreesOfFreedom: Integer; out AYates: Boolean);
|
||||
var
|
||||
i, j, n, m: Integer;
|
||||
numRows, numCols, numCases: Integer;
|
||||
begin
|
||||
MatSize(AFrequencies, n,m); // n,m contain totals row and column
|
||||
numRows := n-1;
|
||||
numCols := m-1;
|
||||
numCases := AFrequencies[numRows, numCols];
|
||||
|
||||
AExpected := nil;
|
||||
ACellChiSqr := nil;
|
||||
SetLength(AExpected, numRows, numCols);
|
||||
SetLength(ACellChiSqr, numRows, numCols);
|
||||
|
||||
AChiSqr := 0;
|
||||
AdjChiSqr := -1; // -1 indicates non-existing value in case of AYates=false
|
||||
AYates := YatesChk.Checked and (numRows = 2) and (numCols = 2);
|
||||
|
||||
if (numRows > 1) and (numCols > 1) then
|
||||
begin
|
||||
for i := 0 to numRows-1 do
|
||||
begin
|
||||
for j := 0 to numCols-1 do
|
||||
begin
|
||||
AExpected[i, j] := AFrequencies[numRows, j] * AFrequencies[i, numCols] / numCases;
|
||||
if (AExpected[i, j] > 0) then
|
||||
ACellChiSqr[i, j] := sqr(AFrequencies[i, j] - AExpected[i, j]) / AExpected[i, j]
|
||||
else
|
||||
begin
|
||||
ErrorMsg('Zero expected value found.');
|
||||
ACellChiSqr[i, j] := 0;
|
||||
end;
|
||||
AChiSqr := AChiSqr + ACellChiSqr[i, j];
|
||||
end;
|
||||
end;
|
||||
ADegreesOfFreedom := (numRows - 1) * (numCols - 1);
|
||||
|
||||
// 2x2 corrected chi-square
|
||||
if AYates then
|
||||
begin
|
||||
AdjChiSqr := abs((AFrequencies[0, 0] * AFrequencies[1, 1]) - (AFrequencies[0, 1] * AFrequencies[1, 0]));
|
||||
AdjChiSqr := sqr(AdjChiSqr - numCases / 2.0) * numCases; // numerator
|
||||
AdjChiSqr := AdjChiSqr / (AFrequencies[0, 2] * AFrequencies[1,2] * AFrequencies[2,0] * AFrequencies[2,1]);
|
||||
end;
|
||||
end;
|
||||
|
||||
(*
|
||||
for i := 1 to NRows do
|
||||
begin
|
||||
for j := 1 to NCols do
|
||||
begin
|
||||
Expected[i-1,j-1] := Freq[NRows,j-1] * Freq[i-1,NCols] / Ncases;
|
||||
if (Expected[i-1,j-1] > 0.0) then
|
||||
CellChi[i-1,j-1] := sqr(Freq[i-1,j-1] - Expected[i-1,j-1])/ Expected[i-1,j-1]
|
||||
else
|
||||
begin
|
||||
ErrorMsg('Zero expected value found.');
|
||||
CellChi[i-1,j-1] := 0.0;
|
||||
end;
|
||||
ChiSquare := ChiSquare + CellChi[i-1,j-1];
|
||||
end;
|
||||
end;
|
||||
df := (NRows - 1) * (NCols - 1);
|
||||
|
||||
if yates then // 2 x 2 corrected chi-square
|
||||
begin
|
||||
AdjChiSqr := abs((Freq[0,0] * Freq[1,1]) - (Freq[0,1] * Freq[1,0]));
|
||||
AdjChiSqr := sqr(AdjChiSqr - NCases / 2.0) * NCases; // numerator
|
||||
AdjChiSqr := AdjChiSqr / (Freq[0,2] * Freq[1,2] * Freq[2,0] * Freq[2,1]);
|
||||
AdjProbChi := 1.0 - ChiSquaredProb(AdjChiSqr, df);
|
||||
end;
|
||||
end;
|
||||
*)
|
||||
|
||||
|
||||
// Equal probability
|
||||
if (numRows = 1) then
|
||||
begin
|
||||
for j := 0 to numCols - 1 do
|
||||
begin
|
||||
AExpected[0, j] := numCases / numCols;
|
||||
if (AExpected[0, j] > 0) then
|
||||
ACellChiSqr[0, j] := sqr(AFrequencies[0, j] - AExpected[0, j]) / AExpected[0, j];
|
||||
AChiSqr := AChiSqr + ACellChiSqr[0, j];
|
||||
end;
|
||||
ADegreesOfFreedom := numCols - 1;
|
||||
end;
|
||||
|
||||
// Equal probability
|
||||
if (numCols = 1) then
|
||||
begin
|
||||
for i := 0 to numRows - 1 do
|
||||
begin
|
||||
AExpected[i, 0] := numCases / numRows;
|
||||
if (AExpected[i, 0] > 0) then
|
||||
ACellChiSqr[i, 0] := sqr(AFrequencies[i, 0] - AExpected[i, 0]) / AExpected[i, 0];
|
||||
AChiSqr := AChiSqr + ACellChiSqr[i, 0];
|
||||
end;
|
||||
ADegreesOfFreedom := numRows - 1;
|
||||
end;
|
||||
end;
|
||||
|
||||
|
||||
procedure TRIDITForm.GetFrequencies(const AColNoSelected: IntDyneVec;
|
||||
ANumRows, ANumCols: Integer; out ANumCases: Integer; out AFrequencies: IntDyneMat);
|
||||
var
|
||||
i, j, row, col: Integer;
|
||||
begin
|
||||
// over-dimension the matrix because row and column totals will be in
|
||||
// last column and row.
|
||||
AFrequencies := nil;
|
||||
SetLength(AFrequencies, ANumRows+1, ANumCols+1);
|
||||
for i := 0 to ANumRows do
|
||||
for j := 0 to ANumCols do
|
||||
AFrequencies[i, j] := 0;
|
||||
|
||||
// Get cell data
|
||||
ANumCases := 0;
|
||||
for i := 0 to NoCases-1 do
|
||||
begin
|
||||
row := i+1;
|
||||
for j := 0 to ANumCols-1 do
|
||||
begin
|
||||
col := AColNoSelected[j+1]; // +1 because row index is at index 0
|
||||
AFrequencies[i, j] := StrToInt(OS3MainFrm.DataGrid.Cells[col, row]);
|
||||
ANumCases := ANumCases + AFrequencies[i, j];
|
||||
end;
|
||||
end;
|
||||
AFrequencies[ANumRows, ANumCols] := ANumCases;
|
||||
|
||||
// Calculate row totals
|
||||
for i := 0 to ANumRows-1 do
|
||||
for j := 0 to ANumCols-1 do
|
||||
AFrequencies[i, ANumCols] := AFrequencies[i, ANumCols] + AFrequencies[i, j];
|
||||
|
||||
// Calculate col totals
|
||||
for j := 0 to ANumCols-1 do
|
||||
for i := 0 to ANumRows-1 do
|
||||
AFrequencies[ANumRows, j] := AFrequencies[ANumRows, j] + AFrequencies[i, j];
|
||||
end;
|
||||
|
||||
|
||||
procedure TRIDITForm.RefGrpClick(Sender: TObject);
|
||||
begin
|
||||
RefEdit.Visible := RefGrp.ItemIndex > 0;
|
||||
|
Reference in New Issue
Block a user