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lazarus-ccr/applications/lazstats/source/forms/analysis/nonparametric/kwanovaunit.pas

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// File for testing: "kwanova.laz"
unit KWANOVAUnit;
{$mode objfpc}{$H+}
interface
uses
Classes, SysUtils, FileUtil, Forms, Controls, Graphics, Dialogs,
StdCtrls, Buttons, ExtCtrls,
MainUnit, FunctionsLib, Globals, DataProcs, BasicStatsReportFormUnit;
type
{ TKWAnovaForm }
TKWAnovaForm = class(TBasicStatsReportForm)
AlphaEdit: TEdit;
OptionsGroup: TGroupBox;
Label5: TLabel;
MWUChk: TCheckBox;
GrpEdit: TEdit;
DepEdit: TEdit;
GrpIn: TBitBtn;
GrpOut: TBitBtn;
DepIn: TBitBtn;
DepOut: TBitBtn;
Label1: TLabel;
Label2: TLabel;
Label3: TLabel;
VarList: TListBox;
procedure DepInClick(Sender: TObject);
procedure DepOutClick(Sender: TObject);
procedure GrpInClick(Sender: TObject);
procedure GrpOutClick(Sender: TObject);
procedure VarListDblClick(Sender: TObject);
procedure VarListSelectionChange(Sender: TObject; {%H-}User: boolean);
private
protected
procedure AdjustConstraints; override;
procedure Compute; override;
procedure UpdateBtnStates; override;
function Validate(out AMsg: String; out AControl: TWinControl): Boolean; override;
public
procedure Reset; override;
end;
var
KWAnovaForm: TKWAnovaForm;
implementation
{$R *.lfm}
uses
Math,
Utils, GridProcs, MatrixUnit;
{ TKWAnovaForm }
procedure TKWAnovaForm.AdjustConstraints;
begin
inherited;
ParamsPanel.Constraints.MinWidth := Max(
4*CloseBtn.Width + 3*CloseBtn.BorderSpacing.Left,
2*OptionsGroup.Width);
ParamsPanel.Constraints.MinHeight := DepOut.Top + DepOut.Height +
VarList.BorderSpacing.Bottom + OptionsGroup.Height +
ButtonBevel.Height + CloseBtn.BorderSpacing.Top + CloseBtn.Height;
end;
procedure TKWAnovaForm.Compute;
var
i, j, k, m, ind_var, dep_var, min_grp, max_grp, group, total_n : integer;
NoTies, NoTieGroups, nogroups, NoSelected, npairs, n1, n2 : integer;
largestN : integer;
ColNoSelected : IntdyneVec = nil;
group_count : IntDyneVec = nil;
Ranks: DblDyneMat = nil;
X : DblDyneMat = nil;
RankSums: DblDyneVec = nil;
score, t, SumT, Avg, Probchi, H, CorrectedH, value : double;
Correction, Temp, TieSum, alpha, U, U2, SD, z, prob : double;
cellstring, outline: string;
lReport: TStrings;
begin
alpha := StrToFloat(AlphaEdit.Text);
// Allocate array memory
SetLength(Ranks, NoCases, 2);
SetLength(X, NoCases, 2);
// Get column numbers of the independent and dependent variables
ind_var := GetVariableIndex(OS3MainFrm.DataGrid, GrpEdit.Text);
dep_var := GetVariableIndex(OS3MainFrm.DataGrid, DepEdit.Text);
NoSelected := 2;
SetLength(ColNoSelected, 2);
ColNoSelected[0] := ind_var;
ColNoSelected[1] := dep_var;
// Get minimum and maximum group codes
total_n := 0;
min_grp := 10000; //atoi(MainForm.Grid.Cells[ind_var,1].c_str);
max_grp := -10000;
for i := 1 to NoCases do
begin
if (not GoodRecord(OS3MainFrm.DataGrid, i, ColNoSelected)) then continue;
group := round(StrToFloat(Trim(OS3MainFrm.DataGrid.Cells[ind_var,i])));
if (group < min_grp) then min_grp := group;
if (group > max_grp) then max_grp := group;
total_n := total_n + 1;
end;
nogroups := max_grp - min_grp + 1;
NoTieGroups := 0;
SumT := 0.0;
// Initialize arrays
SetLength(RankSums,nogroups);
SetLength(group_count,nogroups);
for i := 0 to nogroups-1 do
begin
group_count[i] := 0;
RankSums[i] := 0.0;
end;
// Setup for printer output
lReport := TStringList.Create;
try
lReport.Add('KRUSKAL-WALLIS ONE-WAY ANALYSIS OF VARIANCE');
lReport.Add('See pages 184-194 in S. Siegel: Nonparametric Statistics for the Behavioral Sciences');
lReport.Add('');
// Get data
for i := 1 to NoCases do
begin
if (not GoodRecord(OS3MainFrm.DataGrid, i, ColNoSelected)) then continue;
score := StrToFloat(Trim(OS3MainFrm.DataGrid.Cells[dep_var, i]));
group := round(StrToFloat(Trim(OS3MainFrm.DataGrid.Cells[ind_var, i])));
group := group - min_grp + 1;
if (group > nogroups) then
begin
ErrorMsg('Group codes must be sequential like 1 and 2!');
exit;
end;
group_count[group-1] := group_count[group-1] + 1;
X[i-1, 0] := score;
X[i-1, 1] := group;
end;
//Sort all scores in ascending order
for i := 1 to total_n - 1 do
begin
for j := i + 1 to total_n do
begin
if (X[i-1,0] > X[j-1,0]) then
begin
Exchange(X[i-1, 0], X[j-1, 0]);
Exchange(X[i-1, 1], X[j-1, 1]);
end;
end;
end;
// Store ranks
for i := 0 to total_n-1 do
begin
Ranks[i,0] := i+1;
Ranks[i,1] := X[i,1];
end;
//Check for ties in ranks - replace with average rank and calculate
//T for each tie and sum of the T's
i := 1;
while i < total_n do
begin
j := i + 1;
TieSum := 0;
NoTies := 0;
while (j < total_n) do
begin
if (X[j-1,0] > X[i-1,0]) then
break;
if (X[j-1,0] = X[i-1,0]) then // match
begin
TieSum := TieSum + round(Ranks[j-1,0]);
NoTies := NoTies + 1;
end;
j := j + 1;
end;
if (NoTies > 0) then //At least one tie found
begin
TieSum := TieSum + Ranks[i-1,0];
NoTies := NoTies + 1;
Avg := TieSum / NoTies;
for j := i to i + NoTies - 1 do Ranks[j-1,0] := Avg;
t := Power(NoTies,3) - NoTies;
SumT := SumT + t;
NoTieGroups := NoTieGroups + 1;
i := i + (NoTies - 1);
end;
i := i + 1;
end; // next i
// Calculate sum of ranks in each group
for i := 0 to total_n-1 do
begin
group := round(Ranks[i, 1]);
RankSums[group-1] := RankSums[group-1] + Ranks[i, 0];
end;
// Calculate statistics
H := 0.0;
for j := 0 to nogroups-1 do
H := H + (RankSums[j] * RankSums[j] / (group_count[j]));
H := H * (12.0 / ( total_n * (total_n + 1)) );
H := H - (3.0 * (total_n + 1));
Correction := 1.0 - ( SumT / (Power(total_n,3) - total_n) );
CorrectedH := H / Correction;
k := max_grp - min_grp;
probChi := 1.0 - ChiSquaredProb(H, k);
// Report results
lReport.Add(' Score Rank Group');
lReport.Add('');
for i := 0 to total_n-1 do
lReport.Add('%10.2f %10.2f %10.0f', [X[i,0], Ranks[i,0], Ranks[i,1]]);
lReport.Add('');
lReport.Add('Sum of Ranks in each Group');
lReport.Add('Group Sum No. in Group');
for i := 0 to noGroups-1 do
lReport.Add('%3d %10.2f %5d', [i+min_grp, RankSums[i], group_count[i]]);
lReport.Add('');
lReport.Add('No. of tied rank groups %8d', [NoTieGroups]);
lReport.Add('Statistic H uncorrected for ties: %8.4f', [H]);
lReport.Add('Correction for Ties: %8.4f', [Correction]);
lReport.Add('Statistic H corrected for ties: %8.4f', [CorrectedH]);
lReport.Add('Corrected H is approx. chi-square with %d degrees of freedom and probability %.4f', [k, ProbChi]);
if MWUChk.Checked then
begin
lReport.Add('');
lReport.Add('------------------------------------------------------------------------');
lReport.Add('');
// Do Mann-Whitney U tests on group pairs
alpha := StrToFloat(AlphaEdit.Text);
npairs := nogroups * (nogroups - 1) div 2;
alpha := alpha / npairs;
lReport.Add('New alpha for %d paired comparisons: %.3f', [npairs, alpha]);
for i := 1 to nogroups - 1 do
begin
for j := i + 1 to nogroups do
begin
// Setup for printer output
lReport.Add('');
lReport.Add('');
lReport.Add('MANN-WHITNEY U TEST');
lReport.Add('See pages 116-127 in S. Siegel: Nonparametric Statistics for the Behavioral Sciences');
lReport.Add('');
lReport.Add('Comparison of group %d with group %d', [i, j]);
group_count[0] := 0;
group_count[1] := 0;
RankSums[0] := 0;
RankSums[1] := 0;
total_n := 0;
for k := 1 to NoCases do
begin
if (not GoodRecord(OS3MainFrm.DataGrid, k, ColNoSelected)) then continue;
score := StrToFloat(Trim(OS3MainFrm.DataGrid.Cells[dep_var, k]));
value := StrToFloat(Trim(OS3MainFrm.DataGrid.Cells[ind_var, k]));
if round(value) = i then
begin
X[total_n,0] := score;
X[total_n,1] := value;
group_count[0] := group_count[0] + 1;
total_n := total_n + 1;
end;
if round(value) = j then
begin
X[total_n,0] := score;
X[total_n,1] := value;
group_count[1] := group_count[1] + 1;
total_n := total_n + 1;
end;
end; // next case k
//Sort all scores in ascending order
for k := 1 to total_n - 1 do
begin
for m := k + 1 to total_n do
begin
if (X[k-1,0] > X[m-1,0]) then
begin
Temp := X[k-1,0];
X[k-1,0] := X[m-1,0];
X[m-1,0] := Temp;
Temp := X[k-1,1];
X[k-1,1] := X[m-1,1];
X[m-1,1] := Temp;
end;
end;
end;
// get ranks for these two groups
for k := 0 to total_n-1 do
begin
Ranks[k,0] := k+1;
Ranks[k,1] := X[k,1];
end;
//Check for ties in ranks - replace with average rank and calculate
//T for each tie and sum of the T's
NoTieGroups := 0;
k := 1;
while k < total_n do
begin
m := k + 1;
TieSum := 0;
NoTies := 0;
while (m < total_n) do
begin
if (X[m-1,0] > X[k-1,0]) then
Break;
if (X[m-1,0] = X[k-1,0]) then // match
begin
TieSum := TieSum + round(Ranks[m-1,0]);
NoTies := NoTies + 1;
end;
m := m + 1;
end;
if (NoTies > 0) then //At least one tie found
begin
TieSum := TieSum + Ranks[k-1,0];
NoTies := NoTies + 1;
Avg := TieSum / NoTies;
for m := k to k + NoTies - 1 do Ranks[m-1,0] := Avg;
t := Power(NoTies,3) - NoTies;
SumT := SumT + t;
NoTieGroups := NoTieGroups + 1;
k := k + (NoTies - 1);
end;
k := k + 1;
end; // next k
// Calculate sum of ranks in each group
for k := 1 to total_n do
begin
group := round(Ranks[k-1,1]);
RankSums[group-1] := RankSums[group-1] + Ranks[k-1,0];
end;
//Calculate U for larger and smaller groups
n1 := group_count[0];
n2 := group_count[1];
if (n1 > n2) then
begin
group := i-1;
U := (n1 * n2) + ((n1 * (n1 + 1)) / 2.0) - RankSums[group];
end
else
begin
group := j - 1;
U := (n1 * n2) + ((n2 * (n2 + 1)) / 2.0) - RankSums[group];
end;
U2 := (n1 * n2) - U;
SD := (n1 * n2 * (n1 + n2 + 1)) / 12.0;
SD := sqrt(SD);
if (U2 > U) then z := (U2 - (n1 * n2 / 2)) / SD
else z := (U - (n1 * n2 / 2)) / SD;
prob := 1.0 - probz(z);
// Report results
lReport.Add(' Score Rank Group');
lReport.Add('');
for k := 1 to total_n do
lReport.Add('%10.2f %10.2f %10.0f', [X[k-1,0], Ranks[k-1,0], Ranks[k-1,1]]);
lReport.Add('');
lReport.Add('Sum of Ranks in each Group');
lReport.Add('Group Sum No. in Group');
group := i - 1;
lReport.Add('%3d %10.3f %5d', [i, RankSums[group], group_count[0]]);
group := j - 1;
lReport.Add('%3d %10.3f %5d', [j, RankSums[group], group_count[1]]);
lReport.Add('');
lReport.Add( 'No. of tied rank groups: %8d', [NoTieGroups]);
if (n1 > n2) then largestN := n1 else largestN := n2;
if (largestN < 20) then
outline := Format( 'Statistic U: %8.4f',[U])
else
begin
if (U > U2) then
outline := Format('Statistic U: %8.4f',[U])
else
outline := Format('Statistic U: %8.4f',[U2]);
end;
lReport.Add(outline);
lReport.Add( 'z Statistic (corrected for ties): %8.4f', [z]);
lReport.Add( 'Prob. > z: %8.4f', [prob]);
if (n2 < 20) then
begin
lReport.Add('z test is approximate. Use tables of exact probabilities in Siegel.');
lReport.Add('(Table J or K, pages 271-277)');
end;
end; // next group j
end; // next group i
end;
if lReport.Count > 0 then
FReportFrame.DisplayReport(lReport);
finally
lReport.Free;
end;
end;
procedure TKWAnovaForm.DepInClick(Sender: TObject);
var
index: integer;
begin
index := VarList.ItemIndex;
if (index > -1) and (DepEdit.Text = '') then
begin
DepEdit.Text := VarList.Items[index];
VarList.Items.Delete(index);
end;
UpdateBtnStates;
end;
procedure TKWAnovaForm.DepOutClick(Sender: TObject);
begin
if DepEdit.Text <> '' then
begin
VarList.Items.Add(DepEdit.Text);
DepEdit.Text := '';
end;
UpdateBtnStates;
end;
procedure TKWAnovaForm.GrpInClick(Sender: TObject);
var
index: integer;
begin
index := VarList.ItemIndex;
if (index > -1) and (GrpEdit.Text = '') then
begin
GrpEdit.Text := VarList.Items[index];
VarList.Items.Delete(index);
end;
UpdateBtnStates;
end;
procedure TKWAnovaForm.GrpOutClick(Sender: TObject);
begin
if GrpEdit.Text <> '' then
begin
VarList.Items.Add(GrpEdit.Text);
GrpEdit.Text := '';
end;
UpdateBtnStates;
end;
procedure TKWAnovaForm.Reset;
var
i: integer;
begin
inherited;
GrpEdit.Clear;
DepEdit.Clear;
AlphaEdit.Text := FormatFloat('0.00', DEFAULT_ALPHA_LEVEL);
MWUChk.Checked := false;
VarList.Items.Clear;
for i := 1 to NoVariables do
VarList.Items.Add(OS3MainFrm.DataGrid.Cells[i,0]);
UpdateBtnStates;
end;
procedure TKWAnovaForm.UpdateBtnStates;
begin
inherited;
GrpIn.Enabled := (VarList.Items.Count > 0) and (GrpEdit.Text = '');
DepIn.Enabled := (VarList.Items.Count > 0) and (DepEdit.Text = '');
GrpOut.Enabled := (GrpEdit.Text <> '');
DepOut.Enabled := (DepEdit.Text <> '');
end;
function TKWAnovaForm.Validate(out AMsg: String; out AControl: TWinControl): Boolean;
var
x: Double;
begin
Result := false;
if (NoVariables < 1) then
begin
AMsg := 'You must have grid data!';
AControl := VarList;
exit;
end;
if GrpEdit.Text = '' then
begin
AMsg := 'Group variable not specified.';
AControl := GrpEdit;
exit;
end;
if DepEdit.Text = '' then
begin
AMsg := 'Dependent variable not selected.';
AControl := DepEdit;
exit;
end;
if AlphaEdit.Text = '' then
begin
AMsg := 'Alpha level not specified.';
AControl := AlphaEdit;
exit;
end;
if not TryStrToFloat(AlphaEdit.Text, x) or (x <= 0) or (x >= 1) then
begin
AMsg := 'Alpha level must be a valid number between 0 and 1.';
AControl := AlphaEdit;
exit;
end;
Result := true;
end;
procedure TKWAnovaForm.VarListDblClick(Sender: TObject);
var
index: Integer;
s: String;
begin
index := VarList.ItemIndex;
if index > -1 then
begin
s := VarList.Items[index];
if GrpEdit.Text = '' then
GrpEdit.Text := s
else if DepEdit.Text = '' then
DepEdit.Text := s;
VarList.Items.Delete(index);
UpdateBtnStates;
end;
end;
procedure TKWAnovaForm.VarListSelectionChange(Sender: TObject; User: boolean);
begin
UpdateBtnStates;
end;
end.