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unit roc;
interface
//demonstrates the ROC tests that are in the Brunner.pas file
uses
define_types,SysUtils,
part,StatThds,statcr,StatThdsUtil,Brunner,//Brunner,nifti_img, DISTR
Messages, Classes, Graphics, Controls, Forms, Dialogs,
StdCtrls, ComCtrls,ExtCtrls,Menus, //overlap,ReadInt,stats,LesionStatThds,nifti_hdr,
{$IFDEF FPC} LResources,gzio2,
{$ELSE} gziod,associate,{$ENDIF} //must be in search path, e.g. C:\pas\mricron\npm\math
{$IFNDEF UNIX} Windows, {$ENDIF}
upower,IniFiles,cpucount,userdir,math,
regmult,utypes;
procedure testROC;
procedure testROC2;
function AUCbinomcont (lBinomdataRA,lContdataRA: singlep; lnSubj :integer): double;
function AUCcontcont (ldatara1,ldatara2: singlep; lnSubj :integer): double;
implementation
uses npmform;
function readCSV2 (lFilename: string; lCol1,lCol2: integer; var lnObservations : integer; var ldataRA1,ldataRA2: singlep): boolean;
const
kHdrRow = 0;//1;
kHdrCol = 0;//1;
var
lNumStr: string;
F: TextFile;
lTempFloat: double;
lCh: char;
lnFactors,MaxC,R,C:integer;
lError: boolean;
begin
lError := false;
result := false;
if not fileexists(lFilename) then begin
showmessage('Can not find '+lFilename);
exit;
end;
AssignFile(F, lFilename);
FileMode := 0; //Set file access to read only
//First pass: determine column height/width
Reset(F);
C := 0;
MaxC := 0;
R := 0;
while not Eof(F) do begin
//read next line
//read next line
Read(F, lCh);
if lCh = '#' then
while not (lCh in [#10,#13]) do
Read(F, lCh)
else if not (lCh in [#10,#13,#9,',']) then begin
lNumStr := lNumStr + lCh;
end else if lNumStr <> '' then begin
lNumStr := '';
inc(C);
if C > MaxC then
MaxC := C;
if (lCh in [#10,#13]) then begin
C := 0;
inc(R);
end; //eoln
end; //if lNumStr <> '' and not tab
end;
if lNumStr <> '' then //july06- read data immediately prior to EOF
inc(R);
if (R <= (kHdrRow+1)) or (MaxC < (kHdrCol+lCol1)) or (MaxC < (kHdrCol+lCol2)) then begin
showmessage('problems reading CSV - not enough columns/rows '+inttostr(lCol1)+' '+inttostr(lCol2));
exit;
end;
lnObservations := R -kHdrRow ; //-1: first row is header....
lnFactors := MaxC-1;// -1: first column is Y values
//fx(lnObservations,lnFactors);
//exit;
getmem(ldataRA1,lnObservations*sizeof(single));
getmem(ldataRA2,lnObservations*sizeof(single));
//second pass
Reset(F);
C := 1;
MaxC := 0;
R := 1;
lNumStr := '';
lTempfloat := 0;
while not Eof(F) do begin
//read next line
Read(F, lCh);
if lCh = '#' then
while not (lCh in [#10,#13]) do
Read(F, lCh)
else if not (lCh in [#10,#13,#9,',']) then begin
lNumStr := lNumStr + lCh;
end else if lNumStr <> '' then begin
if (R > kHdrRow) and (C > kHdrCol) then begin
if ((C-kHdrCol) = lCol1) or ((C-kHdrCol) = lCol2) then begin
if lNumStr = '-' then begin
lTempFloat := 0;
end else begin //number
try
lTempFloat := strtofloat(lNumStr);
except
on EConvertError do begin
if not lError then
showmessage('Empty cells? Error reading CSV file row:'+inttostr(R)+' col:'+inttostr(C)+' - Unable to convert the string '+lNumStr+' to a number');
lError := true;
lTempFloat := nan;
end;
end;//except
//showmessage(lNumStr);
if (C-kHdrCol) = lCol1 then
ldataRA1^[R-kHdrRow] := lTempFloat
else if (C-kHdrCol) = lCol2 then
ldataRA2^[R-kHdrRow] := lTempFloat;
end; //number
end; //col1 or col2
end;// else //R > 1
lNumStr := '';
inc(C);
if C > MaxC then
MaxC := C;
if (lCh in [#10,#13]) then begin
C := 1;
inc(R);
end; //eoln
end; //if lNumStr <> '' and not tab
end;
if (lNumStr <> '') and (C = lnFactors) then begin //unterminated string
try
lTempFloat := strtofloat(lNumStr);
except
on EConvertError do begin
if not lError then
showmessage('Empty cells? Error reading CSV file row:'+inttostr(R)+' col:'+inttostr(C)+' - Unable to convert the string '+lNumStr+' to a number');
lError := true;
lTempFloat := nan;
end;
end;//except
ldataRA2^[R-1] := lTempFloat;
end;//unterminated string
//read finel item
CloseFile(F);
FileMode := 2; //Set file access to read/write
result := true;
end;
function AUCcontcont (ldatara1,ldatara2: singlep; lnSubj :integer): double;
var
lIn,lInDX : DoubleP0;
lnGroup0,lnGroup1,lI: integer;
begin
result := 0.5;
if lnSubj < 1 then
exit;
Getmem(lIn,lnSubj*sizeof(double));
Getmem(lInDX,lnSubj*sizeof(double));
for lI := 1 to lnSubj do begin
lIn^[lI-1] := ldatara2^[lI];
lInDX^[lI-1] := ldatara1^[lI];
end;
result := continROC2 (lnSubj, lIn, lInDX);
freemem(lIn);
freemem(lInDX);
end;
function AUCbinomcont (lBinomdataRA,lContdataRA: singlep; lnSubj :integer): double;
var
lIn : DoubleP0;
lnGroup0,lnGroup1,lI: integer;
begin
result := 0.5;
if lnSubj < 1 then
exit;
Getmem(lIn,lnSubj*sizeof(double));
lnGroup0 := 0;
lnGroup1 := 0;
for lI := 1 to lnSubj do begin
if lBinomdataRA^[lI] = 0 then begin
lIn^[lnGroup0] := lContdataRA^[lI];
inc (lnGroup0);
end else begin
inc (lnGroup1);
lIn^[lnSubj-lnGroup1] := lContdataRA^[lI];
end;
end;
result := continROC (lnSubj, lnGroup0, lIn);
freemem(lIn);
end;
procedure testROC;
var
lROC : single;
lI,lnSubj,lnGroup0: integer;
//lIn : DoubleP0;
//csv
lnGroup1,lCol1,lCol2: integer; var lnObservations : integer; var ldataRA1,ldataRA2: singlep ;
begin
npmform.MainForm.memo1.lines.clear;
npmform.MainForm.memo1.lines.add('ROC analysis requires CSV format text file.');
npmform.MainForm.memo1.lines.add('First column is the filename (ignored).');
npmform.MainForm.memo1.lines.add('Second column is 0 [deficit present] or 1 [no deficit].');
npmform.MainForm.memo1.lines.add('Third column is number of voxels injured in ROI [0 or greater]:');
npmform.MainForm.memo1.lines.add('Example file:');
//npmform.MainForm.memo1.lines.add('deficit, voxels');
npmform.MainForm.memo1.lines.add('c:\c01.voi,0, 121');
npmform.MainForm.memo1.lines.add('c:\c02.voi,1, 33');
npmform.MainForm.memo1.lines.add('c:\c03.voi,0, 222');
npmform.MainForm.memo1.lines.add('c:\c04.voi,1, 56');
npmform.MainForm.memo1.lines.add('c:\c05.voi,1, 96');
npmform.MainForm.memo1.lines.add('c:\c06.voi,0, 100');
//get csv
npmform.MainForm.memo1.lines.add(' ...requesting CSV file');
if not MainForm.OpenDialogExecute('Select comma separated filenames ',false,false,kTxtFilter) then
exit;
npmform.MainForm.memo1.lines.add(' ...reading CSV file');
if not readCSV2 (MainForm.OpenHdrDlg.Filename, 2,3, lnObservations, ldataRA1,ldataRA2) then
exit;
npmform.MainForm.memo1.lines.add(' ...observations: '+inttostr(lnObservations));
if lnObservations < 3 then begin
showmessage('At least 3 subjects required.');
exit;
end;
lnSubj := lnObservations;
lnGroup0 := 0;
for lI := 1 to lnSubj do
if ldatara1^[lI] = 0 then
inc (lnGroup0);
npmform.MainForm.memo1.lines.add(' ...observations with deficit [0]: '+inttostr(lnGroup0));
if (lnGroup0 = lnSubj) or (lnGroup0 = 0) then begin
showmessage('Some values in the first column must be zero, some must be non-zero.');
exit;
end;
lROC := AUCbinomcont (ldatara1,ldatara2, lnSubj);
(*Getmem(lIn,lnSubj*sizeof(double));
lnGroup0 := 0;
lnGroup1 := 0;
for lI := 1 to lnSubj do begin
if ldatara1[lI] = 0 then begin
lIn[lnGroup0] := ldatara2[lI];
inc (lnGroup0);
end else begin
inc (lnGroup1);
lIn[lnSubj-lnGroup1] := ldatara2[lI];
end;
end;
lROC := continROC (lnSubj, lnGroup0, lIn);
freemem(lIn);
*)
freemem(ldataRA1);
freemem(ldataRA2);
//now analyze
npmform.MainForm.memo1.lines.add('ROC = '+floattostr(lROC));
//fx(lROC);
end;
procedure testROC2;
var
//lDouble: double;
lVariable: boolean;
lF,lROC : single;
lI,lnSubj: integer;
lIn,lInDX : DoubleP0;
//csv
lnGroup1,lCol1,lCol2: integer; var lnObservations : integer; var ldataRA1,ldataRA2: singlep ;
begin
npmform.MainForm.memo1.lines.clear;
npmform.MainForm.memo1.lines.add('ROC analysis requires CSV format text file.');
npmform.MainForm.memo1.lines.add('First column is the filename (ignored).');
npmform.MainForm.memo1.lines.add('Second column is degree of deficit [lower value = more impaired].');
npmform.MainForm.memo1.lines.add('Third column is number of voxels injured in ROI [0 or greater]:');
npmform.MainForm.memo1.lines.add('Example file:');
//npmform.MainForm.memo1.lines.add('deficit, voxels');
npmform.MainForm.memo1.lines.add('c:\c01.voi,0.3, 121');
npmform.MainForm.memo1.lines.add('c:\c02.voi,0.1, 33');
npmform.MainForm.memo1.lines.add('c:\c03.voi,0.2, 222');
npmform.MainForm.memo1.lines.add('c:\c04.voi,1.3, 56');
npmform.MainForm.memo1.lines.add('c:\c05.voi,1.7, 96');
npmform.MainForm.memo1.lines.add('c:\c06.voi,1.5, 100');
//get csv
npmform.MainForm.memo1.lines.add(' ...requesting CSV file');
if not MainForm.OpenDialogExecute('Select comma separated filenames ',false,false,kTxtFilter) then
exit;
npmform.MainForm.memo1.lines.add(' ...reading CSV file');
if not readCSV2 (MainForm.OpenHdrDlg.Filename, 2,3, lnObservations, ldataRA1,ldataRA2) then
exit;
npmform.MainForm.memo1.lines.add(' ...observations: '+inttostr(lnObservations));
if lnObservations < 3 then begin
showmessage('At least 3 subjects required.');
exit;
end;
lnSubj := lnObservations;
lF := ldatara1^[1];
lVariable := false;
for lI := 1 to lnSubj do
if ldatara1^[lI] <> lF then
lVariable := true;
if (not lVariable) then begin
showmessage('The columns must have some variability.');
exit;
end;
Getmem(lIn,lnSubj*sizeof(double));
Getmem(lInDX,lnSubj*sizeof(double));
for lI := 1 to lnSubj do begin
lIn^[lI-1] := ldatara2^[lI];
lInDX^[lI-1] := ldatara1^[lI];
end;
freemem(ldataRA1);
freemem(ldataRA2);
//now analyze
(*lnSubj := 10;
lnGroup0 := 5;
Getmem(lIn,lnSubj*sizeof(double));
for lI := 0 to (lnSubj-1) do
lIn[lI] := -lI;//random(99); *)
lROC := continROC2 (lnSubj, lIn, lInDX);
npmform.MainForm.memo1.lines.add('ROC = '+floattostr(lROC));
freemem(lIn);
freemem(lInDX);
end;
(*procedure testROC;
var
lROC : single;
lI,lnSubj,lnGroup0: integer;
lIn : DoubleP0;
begin
lnSubj := 10;
lnGroup0 := 5;
Getmem(lIn,lnSubj*sizeof(double));
for lI := 0 to (lnSubj-1) do
lIn[lI] := -lI;//random(99);
lROC := continROC (lnSubj, lnGroup0, lIn);
npmform.MainForm.memo1.lines.add('ROC = '+floattostr(lROC));
//fx(lROC);
freemem(lIn);
end; *)
end.
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