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

738 lines
20 KiB
ObjectPascal

unit RIDITUnit;
{$mode objfpc}{$H+}
interface
uses
Classes, SysUtils, FileUtil, LResources, Forms, Controls, Graphics, Dialogs,
StdCtrls, Buttons, ExtCtrls,
MainUnit, Globals, FunctionsLib, OutputUnit, MatrixLib, ContextHelpUnit;
type
{ TRIDITFrm }
TRIDITFrm = class(TForm)
Bevel1: TBevel;
Bevel2: TBevel;
BonChk: TCheckBox;
AlphaEdit: TEdit;
HelpBtn: TButton;
Panel1: TPanel;
ResetBtn: TButton;
CloseBtn: TButton;
ComputeBtn: TButton;
Label5: TLabel;
ObsChk: TCheckBox;
ExpChk: TCheckBox;
PropChk: TCheckBox;
ChiChk: TCheckBox;
RefGrp: TRadioGroup;
YatesChk: TCheckBox;
DetailsChk: TCheckBox;
ColList: TListBox;
GroupBox1: TGroupBox;
RefEdit: TEdit;
Label4: TLabel;
RowEdit: TEdit;
Label2: TLabel;
Label3: TLabel;
RowIn: TBitBtn;
RowOut: TBitBtn;
ColIn: TBitBtn;
ColOut: TBitBtn;
Label1: TLabel;
VarList: TListBox;
procedure ColInClick(Sender: TObject);
procedure ColListClick(Sender: TObject);
procedure ColOutClick(Sender: TObject);
procedure ComputeBtnClick(Sender: TObject);
procedure FormActivate(Sender: TObject);
procedure FormCreate(Sender: TObject);
procedure FormShow(Sender: TObject);
procedure HelpBtnClick(Sender: TObject);
procedure RefGrpClick(Sender: TObject);
procedure ResetBtnClick(Sender: TObject);
procedure RowInClick(Sender: TObject);
procedure RowOutClick(Sender: TObject);
procedure Analyze(RefCol: integer; ColNoSelected: IntDyneVec;
RowLabels: StrDyneVec; ColLabels: StrDyneVec;
NoToAnalyze: integer; Freq: IntDyneMat;
Props: DblDyneMat; NoRows: integer; AReport: TStrings);
procedure VarListSelectionChange(Sender: TObject; User: boolean);
private
{ private declarations }
FAutoSized: Boolean;
procedure UpdateBtnStates;
public
{ public declarations }
end;
var
RIDITFrm: TRIDITFrm;
implementation
uses
Math,
Utils;
{ TRIDITFrm }
procedure TRIDITFrm.ResetBtnClick(Sender: TObject);
var
i: integer;
begin
VarList.Clear;
ColList.Clear;
RowEdit.Text := '';
RefEdit.Text := '';
AlphaEdit.Text := FormatFloat('0.00', DEFAULT_ALPHA_LEVEL);
BonChk.Checked := true;
Label4.Visible := false;
RefEdit.Visible := false;
RefGrp.ItemIndex := 0;
for i := 1 to NoVariables do
VarList.Items.Add(OS3MainFrm.DataGrid.Cells[i,0]);
UpdateBtnStates;
end;
procedure TRIDITFrm.RowInClick(Sender: TObject);
var
index: integer;
begin
index := VarList.ItemIndex;
if (index > -1) and (RowEdit.Text = '') then
begin
RowEdit.Text := VarList.Items[index];
VarList.Items.Delete(index);
end;
UpdateBtnStates;
end;
procedure TRIDITFrm.RowOutClick(Sender: TObject);
begin
if RowEdit.Text <> '' then
begin
VarList.Items.Add(RowEdit.Text);
RowEdit.Text := '';
end;
UpdateBtnStates;
end;
procedure TRIDITFrm.FormActivate(Sender: TObject);
var
w: Integer;
begin
if FAutoSized then
exit;
w := MaxValue([HelpBtn.Width, ResetBtn.Width, ComputeBtn.Width, CloseBtn.Width]);
HelpBtn.Constraints.MinWidth := w;
ResetBtn.Constraints.MinWidth := w;
ComputeBtn.Constraints.MinWidth := w;
CloseBtn.Constraints.MinWidth := w;
Constraints.MinWidth := Width;
Constraints.MinHeight := Height;
FAutoSized := true;
end;
procedure TRIDITFrm.FormCreate(Sender: TObject);
begin
Assert(OS3MainFrm <> nil);
end;
procedure TRIDITFrm.FormShow(Sender: TObject);
begin
ResetBtnClick(self);
end;
procedure TRIDITFrm.HelpBtnClick(Sender: TObject);
begin
if ContextHelpForm = nil then
Application.CreateForm(TContextHelpForm, ContextHelpForm);
ContextHelpForm.HelpMessage((Sender as TButton).tag);
end;
procedure TRIDITFrm.RefGrpClick(Sender: TObject);
begin
RefEdit.Visible := RefGrp.ItemIndex > 0;
Label4.Visible := RefEdit.Visible;
end;
procedure TRIDITFrm.ColInClick(Sender: TObject);
var
i: integer;
begin
i := 0;
while (i < VarList.Items.Count) do
begin
if VarList.Selected[i] then
begin
ColList.Items.Add(VarList.Items[i]);
VarList.Items.Delete(i);
i := 0;
end else
i := i + 1;
end;
UpdateBtnStates;
end;
procedure TRIDITFrm.ColListClick(Sender: TObject);
var
index: integer;
begin
index := ColList.ItemIndex;
if index > -1 then
RefEdit.Text := ColList.Items[index];
UpdateBtnStates;
end;
procedure TRIDITFrm.ColOutClick(Sender: TObject);
var
index: integer;
begin
index := ColList.ItemIndex;
if index > -1 then
begin
VarList.Items.Add(ColList.Items[index]);
ColList.Items.Delete(index);
end;
UpdateBtnStates;
end;
procedure TRIDITFrm.ComputeBtnClick(Sender: TObject);
var
AllRefs : boolean;
i, j, RowNo, RefColNo, NoToAnalyze : integer;
Row, Col, Ncases, Nrows, Ncols, df : integer;
RowLabels, ColLabels : StrDyneVec;
ColNoSelected : IntDyneVec;
cellstring : string;
outline : string;
Freq : IntDyneMat;
Prop, Expected, CellChi : DblDyneMat;
ChiSquare, ProbChi : double;
yates : boolean;
Adjchisqr, Adjprobchi: double;
likelihood, problikelihood, phi: double;
pearsonr, VarX, VarY, SumX, SumY, MantelHaenszel, MHProb, CoefCont: double;
CramerV: double;
tmp: Double;
lReport: TStrings;
begin
if AlphaEdit.Text = '' then
begin
AlphaEdit.SetFocus;
MessageDlg('Alpha level not specified.', mtError, [mbOK], 0);
exit;
end;
if not TryStrToFloat(AlphaEdit.Text, tmp) then
begin
AlphaEdit.Setfocus;
MessageDlg('Numeric input required for alpha level.', mtError, [mbOK], 0);
exit;
end;
if (tmp <= 0) or (tmp >= 1) then
begin
AlphaEdit.Setfocus;
MessageDlg('Alpha level must be > 0 and < 1', mtError, [mbOK], 0);
exit;
end;
AllRefs := RefGrp.ItemIndex = 0;
SetLength(ColNoSelected,NoVariables+1);
RowNo := 0;
for i := 1 to NoVariables do
begin
cellstring := OS3MainFrm.DataGrid.Cells[i,0];
if (cellstring = RowEdit.Text) then RowNo := i;
end;
{
results := VarTypeChk(RowNo,2);
if (result = 1)
begin
delete[] ColNoSelected;
return;
end;
}
Nrows := NoCases;
Ncols := ColList.Items.Count;
SetLength(RowLabels,Nrows+1);
SetLength(ColLabels,Ncols+1);
if (RowNo = 0) then
begin
MessageDlg('A variable for the row labels was not entered.', mtError, [mbOK], 0);
ColNoSelected := nil;
exit;
end;
ColNoSelected[0] := RowNo;
// Get Column labels
for i := 0 to Ncols - 1 do
begin
ColLabels[i] := ColList.Items.Strings[i];
for j := 1 to NoVariables do
begin
cellstring := OS3MainFrm.DataGrid.Cells[j,0];
if (cellstring = ColLabels[i]) then
begin
ColNoSelected[i+1] := j;
{ result := VarTypeChk(j,1);
if (result = 1)
begin
delete[] ColLabels;
delete[] RowLabels;
delete[] ColNoSelected;
return;
end; }
end;
end;
end;
// Get row labels
for i := 1 to NoCases do
RowLabels[i-1] := OS3MainFrm.DataGrid.Cells[RowNo,i];
// allocate and initialize
SetLength(Freq, Nrows+1, Ncols+1);
SetLength(Prop, Nrows+1, Ncols+1);
SetLength(Expected, Nrows, Ncols);
SetLength(CellChi, Nrows, Ncols);
for i := 1 to Nrows + 1 do
for j := 1 to Ncols + 1 do
Freq[i-1,j-1] := 0;
RowLabels[Nrows] := 'Total';
ColLabels[Ncols] := 'Total';
// get cell data
Ncases := 0;
for i := 1 to NoCases do
begin
Row := i;
for j := 1 to Ncols do
begin
Col := ColNoSelected[j];
Freq[i-1,j-1] := StrToInt(OS3MainFrm.DataGrid.Cells[Col,Row]);
// result := GetValue(Row,Col,intvalue,dblvalue,strvalue);
// if (result = 1) Freq[i-1][j-1] := 0;
// else Freq[i-1][j-1] := intvalue;
Ncases := Ncases + Freq[i-1,j-1];
end;
end;
Freq[Nrows][Ncols] := Ncases;
// Now, calculate expected values
// Get row totals first
for i := 1 to Nrows do
for j := 1 to Ncols do
Freq[i-1,Ncols] := Freq[i-1,Ncols] + Freq[i-1,j-1];
// Get col totals next
for j := 1 to Ncols do
for i := 1 to Nrows do
Freq[Nrows,j-1] := Freq[Nrows,j-1] + Freq[i-1,j-1];
// Then get expected values and cell chi-squares
ChiSquare := 0.0;
Adjchisqr := 0.0;
yates := YatesChk.Checked and (Nrows = 2) and (Ncols = 2);
if (Nrows > 1) and (Ncols > 1) then
begin
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
MessageDlg('Zero expected value found.', mtError, [mbOK], 0);
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;
if (Nrows = 1) then // equal probability
begin
for j := 0 to Ncols - 1 do
begin
Expected[0,j] := Ncases / Ncols;
if (Expected[0][j] > 0) then
CellChi[0,j] := sqr(Freq[0,j] - Expected[0,j]) / Expected[0,j];
ChiSquare := ChiSquare + CellChi[0,j];
end;
df := Ncols - 1;
end;
if (Ncols = 1) then // equal probability
begin
for i := 0 to Nrows - 1 do
begin
Expected[i,0] := Ncases / Nrows;
if (Expected[i,0] > 0) then
CellChi[i,0] := sqr(Freq[i,0] - Expected[i,0]) / Expected[i,0];
ChiSquare := ChiSquare + CellChi[i,0];
end;
df := Nrows - 1;
end;
ProbChi := 1.0 - chisquaredprob(ChiSquare,df); // prob. larger chi
//Print results to output form
lReport := TStringList.Create;
try
lReport.Add('CHI-SQUARE ANALYSIS RESULTS');
lReport.Add('No. of Cases: %d', [Ncases]);
lReport.Add('');
// print tables requested by use
if ObsChk.Checked then
IntArrayPrint(Freq, Nrows+1, Ncols+1, 'Frequencies', RowLabels, ColLabels, 'OBSERVED FREQUENCIES', lReport);
if ExpChk.Checked then
begin
outline := 'EXPECTED FREQUENCIES';
MatPrint(Expected, Nrows, Ncols, outline, RowLabels, ColLabels, NoCases, lReport);
end;
for i := 1 to Nrows + 1 do
begin
for j := 1 to Ncols do
begin
if (Freq[i-1,Ncols] > 0.0) then
Prop[i-1,j-1] := Freq[i-1,j-1] / Freq[i-1,Ncols]
else
Prop[i-1,j-1] := 0.0;
end;
if (Freq[i-1,Ncols] > 0.0) then
Prop[i-1,Ncols] := 1.0
else
Prop[i-1,Ncols] := 0.0;
end;
if PropChk.Checked then
begin
outline := 'ROW PROPORTIONS';
MatPrint(Prop, Nrows+1, Ncols+1, outline, RowLabels, ColLabels, NoCases, lReport);
end;
for j := 1 to Ncols + 1 do
begin
for i := 1 to Nrows do
begin
if (Freq[Nrows,j-1] > 0.0) then
Prop[i-1,j-1] := Freq[i-1,j-1] / Freq[Nrows,j-1]
else
Prop[i-1,j-1] := 0.0;
end;
if (Freq[Nrows,j-1] > 0.0) then
Prop[Nrows,j-1] := 1.0
else
Prop[Nrows,j-1] := 0.0;
end;
if (PropChk.Checked) then
begin
outline := 'COLUMN PROPORTIONS';
MatPrint(Prop, Nrows+1, Ncols+1, outline, RowLabels, ColLabels, NoCases, lReport);
end;
if ChiChk.Checked then
begin
outline := 'CHI-SQUARED VALUE FOR CELLS';
MatPrint(CellChi, Nrows, Ncols, outline, RowLabels, ColLabels, NoCases, lReport);
end;
lReport.Add('');
lReport.Add( 'Chi-square: %8.3f', [ChiSquare]);
lReport.Add( ' with D.F. %8d', [df]);
lReport.Add( ' and Probability > value: %8.3f', [ProbChi]);
lReport.Add('');
if yates then
begin
lReport.Add('Chi-square using Yates correction: %8.3f', [AdjChiSqr]);
lReport.Add(' and Probability > value: %8.3f', [Adjprobchi]);
end;
likelihood := 0.0;
for i := 0 to Nrows - 1 do
for j := 0 to Ncols - 1 do
if (Freq[i,j] > 0.0) then
likelihood := likelihood + Freq[i,j] * (ln(Expected[i,j] / Freq[i,j]));
likelihood := -2.0 * likelihood;
problikelihood := 1.0 - ChiSquaredProb(likelihood, df);
lReport.Add( 'Likelihood Ratio: %8.3f', [likelihood]);
lReport.Add( ' with Probability > value: %8.4f', [problikelihood]);
lReport.Add('');
if ((Nrows > 1) and (Ncols > 1)) then
begin
phi := sqrt(ChiSquare / Ncases);
lReport.Add('phi correlation: %8.4f', [phi]);
lReport.Add('');
pearsonr := 0.0;
SumX := 0.0;
SumY := 0.0;
VarX := 0.0;
VarY := 0.0;
for i := 0 to Nrows - 1 do SumX := SumX + ( (i+1) * Freq[i,Ncols] );
for j := 0 to Ncols - 1 do SumY := SumY + ( (j+1) * Freq[Nrows,j] );
for i := 0 to Nrows - 1 do VarX := VarX + ( ((i+1)*(i+1)) * Freq[i,Ncols] );
for j := 0 to Ncols - 1 do VarY := VarY + ( ((j+1)*(j+1)) * Freq[Nrows,j] );
VarX := VarX - ((SumX * SumX) / Ncases);
VarY := VarY - ((SumY * SumY) / Ncases);
for i := 0 to Nrows - 1 do
for j := 0 to Ncols - 1 do
pearsonr := pearsonr + ((i+1)*(j+1) * Freq[i,j]);
pearsonr := pearsonr - (SumX * SumY / Ncases);
pearsonr := pearsonr / sqrt(VarX * VarY);
lReport.Add('Pearson Correlation r: %8.4f', [pearsonr]);
lReport.Add('');
MantelHaenszel := (Ncases-1) * (pearsonr * pearsonr);
MHprob := 1.0 - chisquaredprob(MantelHaenszel,1);
lReport.Add('Mantel-Haenszel Test of Linear Association: %.3f with probability > value %.4f', [MantelHaenszel, MHprob]);
lReport.Add('');
CoefCont := sqrt(ChiSquare / (ChiSquare + Ncases));
lReport.Add('The coefficient of contingency: %8.3f', [CoefCont]);
lReport.Add('');
if (Nrows < Ncols) then
CramerV := sqrt(ChiSquare / (Ncases * ((Nrows-1))))
else
CramerV := sqrt(ChiSquare / (Ncases * ((Ncols-1))));
lReport.Add('Cramers V: %8.3f', [CramerV]);
end;
lReport.Add('');
lReport.Add('=============================================================================');
lReport.Add('');
// Now do RIDIT analysis
NoToAnalyze := ColList.Items.Count;
// do an analysis for each variable as a reference variable
if AllRefs then
begin
NoToAnalyze := ColList.Items.Count;
for i := 0 to NoToAnalyze - 1 do
begin
RefColNo := ColNoSelected[i+1] - 2;
Analyze(RefColNo, ColNoSelected, RowLabels,ColLabels, NoToAnalyze, Freq, Prop, Nrows, lReport);
end;
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, ColNoSelected, RowLabels,ColLabels, NoToAnalyze, Freq, Prop, Nrows, lReport);
end;
DisplayReport(lReport);
finally
lReport.Free;
ColLabels := nil;
RowLabels := nil;
CellChi := nil;
Expected := nil;
Prop := nil;
Freq := nil;
ColNoSelected := nil;
end;
end;
procedure TRIDITFrm.Analyze(RefCol : integer; ColNoSelected : IntDyneVec;
RowLabels : StrDyneVec; ColLabels : StrDyneVec;
NoToAnalyze : integer; Freq : IntDyneMat;
Props : DblDyneMat; NoRows : integer;
AReport: TStrings);
var
probdists : DblDyneMat;
refprob : DblDyneMat;
sizes : DblDyneVec;
meanridits : DblDyneVec;
Cratios : DblDyneVec;
OverMeanRidit : double;
chisquare : double;
probchi : double;
alpha : double;
StdErr : DblDyneVec;
Bonferroni : double;
i, j : integer;
outline : string;
details : boolean;
term1,term2,term3,term4 : double;
begin
SetLength(probdists,NoRows,NoToAnalyze);
SetLength(refprob,NoRows,4);
SetLength(sizes,NoToAnalyze);
SetLength(meanridits,NoToAnalyze);
SetLength(Cratios,NoToAnalyze);
SetLength(StdErr,NoToAnalyze);
alpha := StrToFloat(AlphaEdit.Text);
details := DetailsChk.Checked;
AReport.Add('ANALYSIS FOR STANDARD %s', [ColLabels[RefCol]]);
// AReport.Add('');
// print frequencies
outline := 'Frequencies Observed';
IntArrayPrint(Freq, NoRows, NoToAnalyze, 'Frequencies', RowLabels, ColLabels, outline, AReport);
// print column proportions
outline := 'Column Proportions Observed';
MatPrint(Props, NoRows, NoToAnalyze, outline, RowLabels, ColLabels, NoCases, AReport);
// Get sizes in each column
for i := 0 to NoToAnalyze - 1 do
sizes[i] := Freq[NoRows,i];
// Get the reference variable probabilities for all variables
for j := 0 to NoToAnalyze - 1 do
begin
for i := 0 to NoRows - 1 do
begin
refprob[i,0] := Props[i,j];
refprob[i,1] := Props[i,j] / 2.0;
end;
refprob[0,2] := 0.0;
for i := 1 to NoRows - 1 do refprob[i,2] := refprob[i-1,2] + refprob[i-1,0];
for i := 0 to NoRows - 1 do refprob[i,3] := refprob[i,1] + refprob[i,2];
if (details) then // print calculations table
begin
outline := 'Ridit calculations for ' + ColLabels[j];
MatPrint(refprob, NoRows, 4, outline, RowLabels, ColLabels, NoCases, AReport);
end;
// store results in probdists
for i := 0 to NoRows - 1 do probdists[i,j] := refprob[i,3];
end;
outline := 'Ridits for all variables';
MatPrint(probdists, NoRows, NoToAnalyze, outline, RowLabels, ColLabels, NoCases, AReport);
// obtain mean ridits for the all variables using the reference variable
for i := 0 to NoToAnalyze - 1 do
begin
meanridits[i] := 0.0;
for j := 0 to NoRows - 1 do
meanridits[i] := meanridits[i] + (probdists[j,RefCol] * Freq[j,i]);
meanridits[i] := meanridits[i] / sizes[i];
end;
// print the means using the reference variable
outline := 'Mean RIDITS Using the Reference Values';
DynVectorPrint(meanridits, NoToAnalyze, outline, ColLabels, NoCases, AReport);
// obtain the weighted grand mean ridit
OverMeanRidit := 0.0;
for i := 0 to NoToAnalyze - 1 do
if (i <> RefCol) then OverMeanRidit := OverMeanRidit + sizes[i] * meanridits[i];
OverMeanRidit := OverMeanRidit / (Freq[NoRows,NoToAnalyze] - sizes[RefCol]);
AReport.Add('Overall mean for RIDITS in non-reference groups: %8.4f', [OverMeanRidit]);
// obtain chisquare
chisquare := 0.0;
term4 := sqr(OverMeanRidit - 0.5);
term3 := 0.0;
for i := 0 to NoToAnalyze - 1 do
if (i <> RefCol) then term3 := term3 + sizes[i] * sizes[i];
term3 := 12.0 * term3;
term2 := Freq[NoRows,NoToAnalyze];
term1 := 0.0;
for i := 0 to NoToAnalyze - 1 do
if (i <> RefCol) then
term1 := term1 + sizes[i] * sqr(meanridits[i] - 0.5);
term1 := term1 * 12.0;
chisquare := term1 - (term3 / term2) * term4;
probchi := 1.0 - ChiSquaredProb(chisquare, NoToAnalyze-1);
AReport.Add('Chisquared: %8.4f', [chisquare]);
AReport.Add(' with probability < %8.4f', [probchi]);
// do pairwise comparisons
Cratios[RefCol] := 0.0;
for i := 0 to NoToAnalyze - 1 do
if (i <> RefCol) then
begin
StdErr[i] := sqrt(sizes[RefCol] + sizes[i]) / (2.0 * sqrt(3.0 * sizes[RefCol] * sizes[i]));
Cratios[i] := (meanridits[i] - 0.5) / StdErr[i];
end;
outline := 'z critical ratios';
DynVectorPrint(Cratios, NoToAnalyze, outline, ColLabels, NoCases, AReport);
alpha := alpha / 2.0;
if (BonChk.Checked) then alpha := alpha / (NoToAnalyze - 1);
Bonferroni := InverseZ(1.0 - alpha);
AReport.Add('Significance level used for comparisons: %8.3f', [Bonferroni]);
AReport.Add('');
for i := 0 to NoToAnalyze - 1 do
if (i <> RefCol) then
begin
if (abs(Cratios[i]) > Bonferroni) then
AReport.Add('%s vs %s: significant', [ColLabels[i], ColLabels[RefCol]])
else
AReport.Add('%s vs %s: not significant', [ColLabels[i], ColLabels[RefCol]]);
end;
// cleanup
StdErr := nil;
Cratios := nil;
meanridits := nil;
sizes := nil;
refprob := nil;
probdists := nil;
end;
procedure TRIDITFrm.VarListSelectionChange(Sender: TObject; User: boolean);
begin
UpdateBtnStates;
end;
procedure TRIDITFrm.UpdateBtnStates;
begin
RowIn.Enabled := (VarList.ItemIndex > -1) and (RowEdit.Text = '');
RowOut.Enabled := (RowEdit.Text <> '');
ColIn.Enabled := AnySelected(VarList);
ColOut.Enabled := (ColList.ItemIndex > -1);
end;
initialization
{$I riditunit.lrs}
end.