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LazStats: Refactor SensUnit. Add pdf help to chm.
git-svn-id: https://svn.code.sf.net/p/lazarus-ccr/svn@7404 8e941d3f-bd1b-0410-a28a-d453659cc2b4
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@ -182,6 +182,7 @@ object SensForm: TSensForm
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Constraints.MinHeight = 200
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ItemHeight = 0
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MultiSelect = True
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OnSelectionChange = VarListSelectionChange
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TabOrder = 4
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end
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object InBtn: TBitBtn
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@ -257,81 +258,64 @@ object SensForm: TSensForm
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BorderSpacing.Top = 2
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BorderSpacing.Right = 8
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ItemHeight = 0
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MultiSelect = True
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OnSelectionChange = VarListSelectionChange
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TabOrder = 8
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end
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object CancelBtn: TButton
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object ResetBtn: TButton
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AnchorSideRight.Control = ComputeBtn
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AnchorSideBottom.Control = Owner
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AnchorSideBottom.Side = asrBottom
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Left = 243
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Height = 25
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Top = 546
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Width = 62
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Anchors = [akRight, akBottom]
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AutoSize = True
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BorderSpacing.Left = 12
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BorderSpacing.Top = 8
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BorderSpacing.Right = 12
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BorderSpacing.Bottom = 8
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Cancel = True
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Caption = 'Cancel'
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ModalResult = 2
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TabOrder = 10
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end
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object ResetBtn: TButton
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AnchorSideRight.Control = CancelBtn
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AnchorSideBottom.Control = Owner
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AnchorSideBottom.Side = asrBottom
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Left = 177
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Left = 269
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Height = 25
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Top = 546
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Width = 54
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Anchors = [akRight, akBottom]
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AutoSize = True
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BorderSpacing.Left = 12
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BorderSpacing.Left = 8
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BorderSpacing.Top = 8
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BorderSpacing.Right = 12
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BorderSpacing.Right = 8
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BorderSpacing.Bottom = 8
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Caption = 'Reset'
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OnClick = ResetBtnClick
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TabOrder = 9
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end
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object ComputeBtn: TButton
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AnchorSideRight.Control = ReturnBtn
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AnchorSideRight.Control = CloseBtn
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AnchorSideBottom.Control = Owner
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AnchorSideBottom.Side = asrBottom
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Left = 317
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Left = 331
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Height = 25
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Top = 546
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Width = 76
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Anchors = [akRight, akBottom]
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AutoSize = True
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BorderSpacing.Left = 12
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BorderSpacing.Left = 8
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BorderSpacing.Top = 8
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BorderSpacing.Right = 12
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BorderSpacing.Right = 8
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BorderSpacing.Bottom = 8
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Caption = 'Compute'
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OnClick = ComputeBtnClick
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TabOrder = 11
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TabOrder = 10
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end
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object ReturnBtn: TButton
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object CloseBtn: TButton
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AnchorSideRight.Control = Owner
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AnchorSideRight.Side = asrBottom
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AnchorSideBottom.Control = Owner
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AnchorSideBottom.Side = asrBottom
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Left = 405
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Left = 415
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Height = 25
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Top = 546
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Width = 61
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Width = 55
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Anchors = [akRight, akBottom]
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AutoSize = True
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BorderSpacing.Left = 12
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BorderSpacing.Left = 8
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BorderSpacing.Top = 8
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BorderSpacing.Right = 12
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BorderSpacing.Right = 8
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BorderSpacing.Bottom = 8
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Caption = 'Return'
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ModalResult = 1
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TabOrder = 12
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Caption = 'Close'
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ModalResult = 11
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TabOrder = 11
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end
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object Memo1: TLabel
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AnchorSideLeft.Control = Owner
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@ -354,7 +338,7 @@ object SensForm: TSensForm
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AnchorSideLeft.Control = Owner
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AnchorSideRight.Control = Owner
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AnchorSideRight.Side = asrBottom
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AnchorSideBottom.Control = ReturnBtn
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AnchorSideBottom.Control = CloseBtn
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Left = 0
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Height = 8
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Top = 530
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@ -1,3 +1,7 @@
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// File for testing: boltsize.laz, use BoltLngth variable
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// NOTE: THE OUTPUT DOES NOT EXACTLY MATCH THAT OF THE PDF DOCUMENTATION !!!!
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unit SensUnit;
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{$mode objfpc}{$H+}
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@ -18,11 +22,10 @@ type
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AllBtn: TBitBtn;
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AlphaEdit: TEdit;
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Bevel1: TBevel;
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CancelBtn: TButton;
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Memo1: TLabel;
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ResetBtn: TButton;
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ComputeBtn: TButton;
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ReturnBtn: TButton;
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CloseBtn: TButton;
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InBtn: TBitBtn;
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Label1: TLabel;
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Label2: TLabel;
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@ -47,9 +50,11 @@ type
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procedure InBtnClick(Sender: TObject);
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procedure OutBtnClick(Sender: TObject);
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procedure ResetBtnClick(Sender: TObject);
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procedure VarListSelectionChange(Sender: TObject; User: boolean);
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private
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{ private declarations }
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FAutoSized: Boolean;
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procedure UpdateBtnStates;
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public
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{ public declarations }
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end;
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@ -60,91 +65,99 @@ var
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implementation
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uses
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Math;
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Math, Utils;
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{ TSensForm }
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procedure TSensForm.ResetBtnClick(Sender: TObject);
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VAR i : integer;
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var
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i: integer;
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begin
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AlphaEdit.Text := '0.05';
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AlphaEdit.Text := FormatFloat('0.00', DEFAULT_ALPHA_LEVEL);
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StandardizeChk.Checked := false;
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PlotChk.Checked := false;
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SlopesChk.Checked := false;
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InBtn.Enabled := true;
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OutBtn.Enabled := false;
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AvgSlopeChk.Checked := false;
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SelectedList.Clear;
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VarList.Clear;
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for i := 1 to NoVariables do VarList.Items.Add(OS3MainFrm.DataGrid.Cells[i,0]);
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for i := 1 to NoVariables do
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VarList.Items.Add(OS3MainFrm.DataGrid.Cells[i,0]);
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UpdateBtnStates;
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end;
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procedure TSensForm.InBtnClick(Sender: TObject);
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VAR index, i : integer;
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var
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i: integer;
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begin
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index := VarList.Items.Count;
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i := 0;
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while i < index do
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while i < VarList.Items.Count do
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begin
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if (VarList.Selected[i]) then
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if VarList.Selected[i] then
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begin
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SelectedList.Items.Add(VarList.Items.Strings[i]);
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SelectedList.Items.Add(VarList.Items[i]);
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VarList.Items.Delete(i);
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index := index - 1;
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i := 0;
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end
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else i := i + 1;
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end else
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i := i + 1;
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end;
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OutBtn.Enabled := true;
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UpdateBtnStates;
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end;
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procedure TSensForm.AllBtnClick(Sender: TObject);
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VAR count, i : integer;
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var
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i: integer;
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begin
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count := VarList.Items.Count;
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if count <= 0 then exit;
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for i := 0 to VarList.Items.Count-1 do
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SelectedList.Items.Add(VarList.Items.Strings[i]);
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SelectedList.Items.Add(VarList.Items[i]);
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VarList.Clear;
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OutBtn.Enabled := true;
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InBtn.Enabled := false;
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UpdateBtnStates;
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end;
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procedure TSensForm.ComputeBtnClick(Sender: TObject);
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VAR
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NoVars, noselected, count, half, q, tp, low, hi, col : integer;
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var
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//NoVars,
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noselected, count, half, q, tp, low, hi, col: integer;
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Values, Slopes, AvgSlopes: DblDyneMat;
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RankedQ, Sorted: DblDyneVec;
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RowLabels, ColLabels, RankLabels: StrDyneVec;
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selected: IntDyneVec;
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temp, MedianSlope, MannKendall, Z, C, M1, M2, Alpha, mean, stddev : double;
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MedianSlope, MannKendall, Z, C, M1, M2, Alpha, mean, stddev: double;
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cellstring, outline: string;
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i, j, k, no2do: integer;
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Standardize, Plot, SlopePlot, AvgSlope: boolean;
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lReport: TStrings;
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begin
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Standardize := false;
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Plot := false;
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SlopePlot := false;
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AvgSlope := false;
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if StandardizeChk.Checked then Standardize := true;
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if PlotChk.Checked then Plot := true;
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if SlopesChk.Checked then SlopePlot := true;
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if AvgSlopeChk.Checked then AvgSlope := true;
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Alpha := 1.0 - StrToFloat(AlphaEdit.Text);
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noselected := SelectedList.Items.Count;
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NoSelected := SelectedList.Items.Count;
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if noselected = 0 then
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begin
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ShowMessage('ERROR! First select variables to analyze.');
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MessageDlg('First select variables to analyze.', mtError, [mbOk], 0);
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exit;
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end;
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if AlphaEdit.Text = '' then begin
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AlphaEdit.SetFocus;
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MessageDlg('Input required.', mtError, [mbOk], 0);
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exit;
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end;
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if not TryStrToFloat(AlphaEdit.Text, Alpha) or (Alpha <= 0) or (Alpha >= 1) then
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begin
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AlphaEdit.SetFocus;
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MessageDlg('Numeric value required in range > 0 and < 1.', mtError, [mbOk], 0);
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exit;
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end;
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Alpha := 1.0 - Alpha;
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Standardize := StandardizeChk.Checked;
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Plot := PlotChk.Checked;
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SlopePlot := SlopesChk.Checked;
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AvgSlope := AvgSlopeChk.Checked;
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SetLength(RowLabels, NoCases);
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SetLength(ColLabels, NoCases);
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SetLength(selected, noselected);
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SetLength(Values,NoCases, noselected+1);
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SetLength(Slopes,NoCases, NoCases);
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SetLength(RankedQ,NoVars); // !!!!!!!!!!!!!!!!!!! NoVars is not initialized !!!!!!!!!!!!!!!!!!!!!!
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//SetLength(RankedQ, NoVars); // !!!!!!!!!!!!!!!!!!! NoVars is not initialized !!!!!!!!!!!!!!!!!!!!!!
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SetLength(Sorted, NoCases);
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SetLength(AvgSlopes, NoCases, NoCases);
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@ -156,43 +169,48 @@ begin
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end;
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// get selected variables
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for i := 1 to noselected do
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for i := 0 to noselected-1 do
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begin
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cellstring := SelectedList.Items.Strings[i-1];
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cellstring := SelectedList.Items.Strings[i];
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for j := 1 to NoVariables do
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if cellstring = OS3MainFrm.DataGrid.Cells[j,0] then
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selected[i-1] := j;
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selected[i] := j;
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end;
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OutputFrm.RichEdit.Clear;
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OutputFrm.RichEdit.Lines.Add('Sens Detection and Estimation of Trends');
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outline := format('Number of data points = %d, Confidence Interval = %4.2f',
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[NoCases,Alpha]);
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OutputFrm.RichEdit.Lines.Add(outline);
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OutputFrm.RichEdit.Lines.Add('');
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lReport := TStringList.Create;
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try
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lReport.Add('SENS DETECTION AND ESTIMATION OF TRENDS');
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lReport.Add('Number of data points: %4d', [NoCases]);
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lReport.Add('Confidence Interval: %4.2f', [Alpha]);
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lReport.Add('');
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//Get the data
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if AvgSlope then for i := 0 to NoCases-1 do Values[i,noselected] := 0.0;
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if AvgSlope then
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for i := 0 to NoCases-1 do
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Values[i, noselected] := 0.0;
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for j := 0 to noselected-1 do
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begin
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col := selected[j];
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for i := 1 to NoCases do
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begin
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Values[i-1,j] := round(StrToFloat(Trim(OS3MainFrm.DataGrid.Cells[col,i])));
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if AvgSlope then Values[i-1,noselected] := Values[i-1,noselected] +
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Values[i-1,j];
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// Values[i-1, j] := round(StrToFloat(Trim(OS3MainFrm.DataGrid.Cells[col, i]))); // wp: why round?
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Values[i-1, j] := StrToFloat(Trim(OS3MainFrm.DataGrid.Cells[col, i]));
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if AvgSlope then
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Values[i-1, noselected] := Values[i-1, noselected] + Values[i-1, j];
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end;
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end;
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if PrtDataChk.Checked then
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begin
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outline := 'CASE';
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MAT_PRINT(Values,NoCases,noselected,outline,RowLabels,ColLabels,NoCases);
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OutputFrm.ShowModal;
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MatPrint(Values, NoCases, noselected, outline, RowLabels, ColLabels, NoCases, lReport);
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lReport.Add(DIVIDER);
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lReport.Add('');
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end;
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// standardize if more than one variable and standardization elected
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if (noselected > 1) and (standardize = true) then
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if (noselected > 1) and standardize then
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begin
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for j := 0 to noselected-1 do
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begin
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@ -201,108 +219,100 @@ begin
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for i := 0 to NoCases-1 do
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begin
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mean := mean + Values[i,j];
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stddev := stddev + (Values[i,j] * Values[i,j]);
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stddev := stddev + sqr(Values[i,j]);
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end;
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stddev := stddev - (mean * mean) / NoCases;
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stddev := stddev - sqr(mean) / NoCases;
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stddev := stddev / (NoCases - 1);
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stddev := sqrt(stddev);
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mean := mean / NoCases;
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for i := 0 to NoCases-1 do
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Values[i,j] := (Values[i,j] - mean) / stddev;
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col := selected[j];
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outline := format('Variable = %s, mean = %8.3f, standard deviation = %8.3f',
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[OS3MainFrm.DataGrid.Cells[col,0],mean,stddev]);
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OutputFrm.RichEdit.Lines.Add(outline);
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lReport.Add('Variable: %s, mean: %8.3f, standard deviation: %8.3f', [OS3MainFrm.DataGrid.Cells[col,0], mean, stddev]);
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end;
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end;
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// average the values if elected
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if AvgSlope then for i := 0 to NoCases - 1 do Values[i,noselected] :=
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Values[i,noselected] / noselected;
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if AvgSlope then
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for i := 0 to NoCases - 1 do
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Values[i, noselected] := Values[i,noselected] / noselected;
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// get interval slopes
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no2do := noselected;
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if AvgSlope then no2do := no2do + 1;
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if AvgSlope then
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no2do := no2do + 1;
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for j := 0 to no2do - 1 do
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begin
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if j < noselected then
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begin
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col := selected[j];
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cellstring := OS3MainFrm.DataGrid.Cells[col,0];
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end
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else
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end else
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begin
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col := 0;
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cellstring := 'Combined Scores';
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end;
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for i := 0 to NoCases-2 do
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begin
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for k := i + 1 to NoCases-1 do
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Slopes[i,k] := (Values[k,j] - Values[i,j]) / (k-i);
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end;
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if PrtSlopesChk.Checked then
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begin
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outline := 'CASE';
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MAT_PRINT(Slopes,NoCases,NoCases,outline,RowLabels,ColLabels,NoCases);
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MatPrint(Slopes, NoCases, NoCases, outline, RowLabels, ColLabels, NoCases, lReport);
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end;
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// get ranked slopes and median estimator
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SetLength(RankedQ, 500); // wp: overcome initialization issue with NoVars.
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count := 0;
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for i := 0 to NoCases-2 do
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begin
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for k := i+1 to NoCases-1 do
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begin
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RankedQ[count] := Slopes[i,k];
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count := count + 1;
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if count = Length(RankedQ) then
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SetLength(RankedQ, Length(RankedQ) + 500);
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end;
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end;
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SetLength(RankedQ, count);
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//sort into ascending order
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for i := 0 to count - 2 do
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begin
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for k := i + 1 to count-1 do
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begin
|
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if RankedQ[i] > RankedQ[k] then
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begin
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temp := RankedQ[i];
|
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RankedQ[i] := RankedQ[k];
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RankedQ[k] := temp;
|
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end;
|
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end;
|
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end;
|
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Exchange(RankedQ[i], RankedQ[k]);
|
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|
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if PrtRanksChk.Checked then
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begin
|
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SetLength(RankLabels, count);
|
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for k := 0 to count-1 do RankLabels[k] := IntToStr(k+1);
|
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OutputFrm.RichEdit.Lines.Add('Ranked Slopes');
|
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for k := 0 to count-1 do
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RankLabels[k] := IntToStr(k+1);
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lReport.Add('Ranked Slopes');
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for i := 0 to count-1 do
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begin
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outline := format('Label = %s, Ranked Q = %8.3f',
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[RankLabels[i],RankedQ[i]]);
|
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OutputFrm.RichEdit.Lines.Add(outline);
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end;
|
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OutputFrm.ShowModal;
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lReport.Add('Label: %s, Ranked Q: %8.3f', [RankLabels[i], RankedQ[i]]);
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// lReport.Add('Label: %d, Ranked Q: %8.3f', [k+1, RankedQ[i]]); <--- wp: test this. It should avoid using the RankLabela array
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||||
lReport.Add('');
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lReport.Add(DIVIDER);
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lReport.Add('');
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||||
RankLabels := nil;
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end;
|
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|
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// get median slope
|
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half := count div 2;
|
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if (2 * half) < count then MedianSlope := RankedQ[half]
|
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else MedianSlope := (RankedQ[half-1] + RankedQ[half]) / 2.0;
|
||||
if (2 * half) < count then // wp: Isn't this the same as "odd(count)"?
|
||||
MedianSlope := RankedQ[half]
|
||||
else
|
||||
MedianSlope := (RankedQ[half-1] + RankedQ[half]) / 2.0;
|
||||
|
||||
// get Mann-Kendall statistic based on tied values
|
||||
for i := 0 to NoCases-1 do Sorted[i] := Values[i,j];
|
||||
for i := 0 to NoCases-1 do
|
||||
Sorted[i] := Values[i,j];
|
||||
for i := 0 to NoCases-2 do
|
||||
begin
|
||||
for k := i+1 to NoCases-1 do
|
||||
begin
|
||||
if Sorted[i] > Sorted[k] then
|
||||
begin
|
||||
temp := Sorted[i];
|
||||
Sorted[i] := Sorted[k];
|
||||
Sorted[k] := temp;
|
||||
end;
|
||||
Exchange(Sorted[i], Sorted[k]);
|
||||
end;
|
||||
end;
|
||||
|
||||
@ -319,80 +329,61 @@ begin
|
||||
begin
|
||||
i := k-1;
|
||||
break;
|
||||
end
|
||||
else tp := tp + 1;
|
||||
end else
|
||||
tp := tp + 1;
|
||||
end; // next k
|
||||
|
||||
if tp > 1 then
|
||||
begin
|
||||
q := q + 1;
|
||||
MannKendall := MannKendall + (tp * (tp-1) * (2 * tp + 5));
|
||||
end;
|
||||
end; // end next i
|
||||
MannKendall := (NoCases * (NoCases-1) * (2 * NoCases + 5) -
|
||||
MannKendall) / 18.0;
|
||||
MannKendall := (NoCases * (NoCases-1) * (2 * NoCases + 5) - MannKendall) / 18.0;
|
||||
Z := inversez(Alpha);
|
||||
if MannKendall > 0 then
|
||||
begin
|
||||
C := Z * sqrt(MannKendall);
|
||||
M1 := (count - C) / 2.0;
|
||||
M2 := (count + C) / 2.0;
|
||||
end
|
||||
else begin
|
||||
outline := format('Error: z = %8.3f, Mann-Kendall = %8.3f',
|
||||
[Z,MannKendall]);
|
||||
OutputFrm.RichEdit.Lines.Add(outline);
|
||||
end;
|
||||
end else
|
||||
lReport.Add('Error: z: %8.3f, Mann-Kendall: %8.3f', [Z, MannKendall]);
|
||||
|
||||
// show results
|
||||
if j < noselected then
|
||||
begin
|
||||
outline := format('Results for %s',[cellstring]);
|
||||
OutputFrm.RichEdit.Lines.Add(outline);
|
||||
end
|
||||
lReport.Add('Results for %s', [cellstring])
|
||||
else
|
||||
OutputFrm.RichEdit.Lines.Add('Results for Averaged Values');
|
||||
if (noselected > 1) and (Standardize = true) then
|
||||
lReport.Add('Results for Averaged Values');
|
||||
|
||||
if (noselected > 1) and Standardize then
|
||||
begin
|
||||
mean := 0.0;
|
||||
stddev := 0.0;
|
||||
for i := 0 to NoCases-1 do
|
||||
begin
|
||||
mean := mean + Values[i,j];
|
||||
stddev := stddev + (Values[i,j] * Values[i,j]);
|
||||
stddev := stddev + sqr(Values[i,j]);
|
||||
end;
|
||||
stddev := stddev - (mean * mean) / NoCases;
|
||||
stddev := stddev - sqr(mean) / NoCases;
|
||||
stddev := stddev / (NoCases - 1);
|
||||
stddev := sqrt(stddev);
|
||||
mean := mean / NoCases;
|
||||
outline := format('Mean = %8.3f, Standard Deviation = %8.3f',
|
||||
[mean,stddev]);
|
||||
OutputFrm.RichEdit.Lines.Add(outline);
|
||||
lReport.Add('Mean: %8.3f, Standard Deviation = %8.3f', [mean, stddev]);
|
||||
end;
|
||||
outline := format('Median Slope for %d values = %8.3f',
|
||||
[count,MedianSlope]);
|
||||
OutputFrm.RichEdit.Lines.Add(outline);
|
||||
outline := format('Mann-Kendall Variance statistic = %8.3f (%d ties)',
|
||||
[MannKendall,q]);
|
||||
OutputFrm.RichEdit.Lines.Add(outline);
|
||||
outline := format('Ranks of the lower and upper confidence = %8.3f, %8.3f',
|
||||
[M1, M2+1]);
|
||||
OutputFrm.RichEdit.Lines.Add(outline);
|
||||
|
||||
lReport.Add('Median Slope for %d values: %8.3f', [count, MedianSlope]);
|
||||
lReport.Add('Mann-Kendall Variance statistic: %8.3f (%d ties)', [MannKendall, q]);
|
||||
lReport.Add('Ranks of the lower and upper confidence: %8.3f, %8.3f', [M1, M2+1]);
|
||||
|
||||
low := round(M1 - 1.0);
|
||||
if ((M1-1) - low) > 0.5 then low := round(M1-1);
|
||||
hi := round(M2);
|
||||
if (M2 - hi) > 0.5 then hi := round(M2);
|
||||
if (low > 0) or (hi <= count) then
|
||||
begin
|
||||
outline := format('Corresponding lower and upper slopes = %8.3f, %8.3f',
|
||||
[RankedQ[low],RankedQ[hi]]);
|
||||
OutputFrm.RichEdit.Lines.Add(outline);
|
||||
end
|
||||
else begin
|
||||
outline := format('ERROR! low rank = %d, hi rank = %d',
|
||||
[low, hi]);
|
||||
OutputFrm.RichEdit.Lines.Add(outline);
|
||||
end;
|
||||
OutputFrm.RichEdit.Lines.Add('');
|
||||
lReport.Add('Corresponding lower and upper slopes: %8.3f, %8.3f', [RankedQ[low], RankedQ[hi]])
|
||||
else
|
||||
lReport.Add('ERROR! low rank = %d, hi rank = %d', [low, hi]);
|
||||
lReport.Add('');
|
||||
|
||||
// plot slopes if elected
|
||||
if Plot then
|
||||
@ -402,11 +393,13 @@ begin
|
||||
GraphFrm.GraphType := 2;
|
||||
GraphFrm.nosets := 1;
|
||||
GraphFrm.nbars := NoCases;
|
||||
GraphFrm.BackColor := clYellow;
|
||||
GraphFrm.WallColor := clBlue;
|
||||
GraphFrm.FloorColor := clGray;
|
||||
if j < noselected then GraphFrm.Heading := OS3MainFrm.DataGrid.Cells[col,0]
|
||||
else GraphFrm.Heading := 'Average Values';
|
||||
GraphFrm.BackColor := GRAPH_BACK_COLOR;
|
||||
GraphFrm.WallColor := GRAPH_WALL_COLOR;
|
||||
GraphFrm.FloorColor := GRAPH_FLOOR_COLOR;
|
||||
if j < noselected then
|
||||
GraphFrm.Heading := OS3MainFrm.DataGrid.Cells[col,0]
|
||||
else
|
||||
GraphFrm.Heading := 'Average Values';
|
||||
GraphFrm.barwideprop := 1.0;
|
||||
GraphFrm.AutoScaled := true;
|
||||
GraphFrm.ShowLeftWall := true;
|
||||
@ -419,7 +412,9 @@ begin
|
||||
GraphFrm.Ypoints[0,k] := Values[k,j];
|
||||
GraphFrm.Xpoints[0,k] := k+1;
|
||||
end;
|
||||
GraphFrm.ShowModal;
|
||||
if GraphFrm.ShowModal <> mrOK then
|
||||
exit;
|
||||
|
||||
GraphFrm.Ypoints := nil;
|
||||
GraphFrm.Xpoints := nil;
|
||||
end;
|
||||
@ -432,9 +427,9 @@ begin
|
||||
GraphFrm.GraphType := 2;
|
||||
GraphFrm.nosets := 1;
|
||||
GraphFrm.nbars := count;
|
||||
GraphFrm.BackColor := clYellow;
|
||||
GraphFrm.WallColor := clBlue;
|
||||
GraphFrm.FloorColor := clGray;
|
||||
GraphFrm.BackColor := GRAPH_BACK_COLOR;
|
||||
GraphFrm.WallColor := GRAPH_WALL_COLOR;
|
||||
GraphFrm.FloorColor := GRAPH_FLOOR_COLOR;
|
||||
GraphFrm.Heading := 'Ranked Slopes';
|
||||
GraphFrm.barwideprop := 1.0;
|
||||
GraphFrm.AutoScaled := true;
|
||||
@ -448,34 +443,30 @@ begin
|
||||
GraphFrm.Ypoints[0,k] := RankedQ[k];
|
||||
GraphFrm.Xpoints[0,k] := k+1;
|
||||
end;
|
||||
GraphFrm.ShowModal;
|
||||
if not GraphFrm.ShowModal = mrOK then
|
||||
exit;
|
||||
|
||||
GraphFrm.Ypoints := nil;
|
||||
GraphFrm.Xpoints := nil;
|
||||
end;
|
||||
OutputFrm.ShowModal;
|
||||
OutputFrm.RichEdit.Clear;
|
||||
|
||||
lReport.Add('');
|
||||
lReport.Add(DIVIDER);
|
||||
lReport.Add('');
|
||||
end; // next variable j
|
||||
|
||||
if AvgSlope then
|
||||
begin
|
||||
for i := 0 to NoCases-2 do
|
||||
begin
|
||||
for k := i + 1 to NoCases-1 do
|
||||
begin
|
||||
AvgSlopes[i,k] := AvgSlopes[i,k] + Slopes[i,k];
|
||||
end;
|
||||
end;
|
||||
end;
|
||||
|
||||
// Average multiple measures
|
||||
if AvgSlope then
|
||||
begin
|
||||
OutputFrm.RichEdit.Lines.Add('Results for Averaged Slopes');
|
||||
lReport.Add('Results for Averaged Slopes');
|
||||
for i := 0 to NoCases-2 do
|
||||
begin
|
||||
for k := i + 1 to NoCases-1 do
|
||||
AvgSlopes[i,k] := AvgSlopes[i,k] / noselected;
|
||||
end;
|
||||
|
||||
// get ranked slopes and median estimator
|
||||
count := 0;
|
||||
@ -488,21 +479,17 @@ begin
|
||||
end;
|
||||
end;
|
||||
for i := 0 to Count-2 do
|
||||
begin
|
||||
for j := i + 1 to count - 1 do
|
||||
begin
|
||||
if RankedQ[i] > RankedQ[j] then
|
||||
begin
|
||||
temp := RankedQ[i];
|
||||
RankedQ[i] := RankedQ[j];
|
||||
RankedQ[j] := temp;
|
||||
end;
|
||||
end;
|
||||
end;
|
||||
Exchange(RankedQ[i], RankedQ[j]);
|
||||
|
||||
// get median slope
|
||||
half := count div 2;
|
||||
if (2 * half) < count then MedianSlope := RankedQ[half + 1]
|
||||
else MedianSlope := (RankedQ[half] + RankedQ[half+1]) / 2.0;
|
||||
if (2 * half) < count then // again: should be "odd(count)"
|
||||
MedianSlope := RankedQ[half + 1]
|
||||
else
|
||||
MedianSlope := (RankedQ[half] + RankedQ[half+1]) / 2.0;
|
||||
|
||||
// get Mann-Kendall statistic based on tied values
|
||||
MannKendall := 0.0;
|
||||
q := 0;
|
||||
@ -517,8 +504,8 @@ begin
|
||||
begin
|
||||
i := j - 1;
|
||||
break;
|
||||
end
|
||||
else tp := tp + 1;
|
||||
end else
|
||||
tp := tp + 1;
|
||||
end;
|
||||
if tp > 1 then
|
||||
begin
|
||||
@ -529,36 +516,30 @@ begin
|
||||
MannKendall := (NoCases * (NoCases-1) * (2 * NoCases + 5) - MannKendall) / 18.0;
|
||||
Z := inversez(Alpha);
|
||||
if MannKendall < 0.0 then
|
||||
begin
|
||||
outline := format('Error in calculating Mann-Kendall = %8.3f',
|
||||
[MannKendall]);
|
||||
ShowMessage(outline);
|
||||
end;
|
||||
if MannKendall > 0.0 then C := Z * sqrt(MannKendall)
|
||||
else C := Z;
|
||||
MessageDlg(Format('Error in calculating Mann-Kendall: %8.3f', [MannKendall]), mtError, [mbOK], 0);
|
||||
if MannKendall > 0.0 then
|
||||
C := Z * sqrt(MannKendall)
|
||||
else
|
||||
C := Z;
|
||||
M1 := (count - C) / 2.0;
|
||||
M2 := (count + C) / 2.0;
|
||||
|
||||
// Show results
|
||||
outline := format('Median Slope for %d values = %8.3f for averaged measures',
|
||||
[count,MedianSlope]);
|
||||
OutputFrm.RichEdit.Lines.Add(outline);
|
||||
outline := format('Mann-Kendall Variance statistic = %8.3f (%d ties observed)',
|
||||
[MannKendall,q]);
|
||||
OutputFrm.RichEdit.Lines.Add(outline);
|
||||
outline := format('Ranks of the lower and upper confidence = (%8.3f, %8.3f)',
|
||||
[M1, M2]);
|
||||
OutputFrm.RichEdit.Lines.Add(outline);
|
||||
lReport.Add('Median Slope for %d values: %8.3f for averaged measures', [count, MedianSlope]);
|
||||
lReport.Add('Mann-Kendall Variance statistic: %8.3f (%d ties observed)', [MannKendall, q]);
|
||||
lReport.Add('Ranks of the lower and upper confidence: (%8.3f, %8.3f)', [M1, M2]);
|
||||
|
||||
low := round(M1) - 1;
|
||||
if ((M1-1) - low) > 0.5 then low := round(M1 - 1);
|
||||
hi := round(M2);
|
||||
if (M2 - hi) > 0.5 then hi := round(M2);
|
||||
outline := format('Corresponding lower and upper slopes = (%8.3f, %8.3f)',
|
||||
[RankedQ[low],RankedQ[hi]]);
|
||||
OutputFrm.RichEdit.Lines.Add(outline);
|
||||
lReport.Add('Corresponding lower and upper slopes: (%8.3f, %8.3f)', [RankedQ[low],RankedQ[hi]]);
|
||||
end; // end if average slope
|
||||
OutputFrm.ShowModal;
|
||||
|
||||
// cleanup
|
||||
DisplayReport(lReport);
|
||||
|
||||
finally
|
||||
lReport.Free;
|
||||
AvgSlopes := nil;
|
||||
Sorted := nil;
|
||||
RankedQ := nil;
|
||||
@ -568,6 +549,7 @@ begin
|
||||
ColLabels := nil;
|
||||
RowLabels := nil;
|
||||
end;
|
||||
end;
|
||||
|
||||
procedure TSensForm.FormActivate(Sender: TObject);
|
||||
var
|
||||
@ -576,11 +558,10 @@ begin
|
||||
if FAutoSized then
|
||||
exit;
|
||||
|
||||
w := MaxValue([ResetBtn.Width, CancelBtn.Width, ComputeBtn.Width, ReturnBtn.Width]);
|
||||
w := MaxValue([ResetBtn.Width, ComputeBtn.Width, CloseBtn.Width]);
|
||||
ResetBtn.Constraints.MinWidth := w;
|
||||
CancelBtn.Constraints.MinWidth := w;
|
||||
ComputeBtn.Constraints.MinWidth := w;
|
||||
ReturnBtn.Constraints.MinWidth := w;
|
||||
CloseBtn.Constraints.MinWidth := w;
|
||||
|
||||
Constraints.MinWidth := Width;
|
||||
Constraints.MinHeight := Height;
|
||||
@ -591,20 +572,38 @@ end;
|
||||
procedure TSensForm.FormCreate(Sender: TObject);
|
||||
begin
|
||||
Assert(OS3MainFrm <> nil);
|
||||
if OutputFrm = nil then
|
||||
Application.CreateForm(TOutputFrm, OutputFrm);
|
||||
if GraphFrm = nil then
|
||||
Application.CreateForm(TGraphFrm, GraphFrm);
|
||||
end;
|
||||
|
||||
procedure TSensForm.OutBtnClick(Sender: TObject);
|
||||
VAR index : integer;
|
||||
var
|
||||
i: integer;
|
||||
begin
|
||||
index := SelectedList.ItemIndex;
|
||||
VarList.Items.Add(SelectedList.Items.Strings[index]);
|
||||
SelectedList.Items.Delete(index);
|
||||
InBtn.Enabled := true;
|
||||
if SelectedList.Items.Count = 0 then OutBtn.Enabled := false;
|
||||
i := 0;
|
||||
while i < SelectedList.Items.Count do
|
||||
begin
|
||||
if SelectedList.Selected[i] then
|
||||
begin
|
||||
VarList.Items.Add(SelectedList.Items[i]);
|
||||
SelectedList.Items.Delete(i);
|
||||
i := 0;
|
||||
end else
|
||||
i := i + 1;
|
||||
end;
|
||||
UpdateBtnStates;
|
||||
end;
|
||||
|
||||
procedure TSensForm.UpdateBtnStates;
|
||||
begin
|
||||
InBtn.Enabled := AnySelected(VarList);
|
||||
OutBtn.Enabled := AnySelected(SelectedList);
|
||||
AllBtn.Enabled := Varlist.Items.Count > 0;
|
||||
end;
|
||||
|
||||
procedure TSensForm.VarListSelectionChange(Sender: TObject; User: boolean);
|
||||
begin
|
||||
UpdateBtnStates;
|
||||
end;
|
||||
|
||||
initialization
|
||||
|
||||
Reference in New Issue
Block a user