多指标单因素方差分析程序.doc

Dim nindex As LongDim indexNAME(20) As StringDim indexMAX(20) As LongDim indexORDER(20, 20) As StringDim nsample As LongDim indextable(20, 500) As IntegerDim currentROW As Long 迭代的最大次数Const EULER = 0.5772156649Const FPMIN = 1E-30 为防止除0使用的常数以下2012.06.08 加 分析基本统计参数，不能应用复杂统计程序求解，以减少计算时间及程序复杂性Sub basestat(index() As Integer, X() As Double, ByVal N As Integer, ByVal NK As Integer, _ AVEI() As Double, NI() As Integer, SEI2() As Double, mini() As Double, maxi() As Double, _ ave As Double, se2 As Double, min As Double, max As Double) Dim I As Integer, J As Integer ReDim SUMi2(NK) As Double, SUMI(NK) As Double Dim SUM As Double, SUM2 As Double max = -1E-99 极值初值 min = 1E+100 For I = 1 To NK maxi(I) = -1E-99 mini(I) = 1E+100 NI(I) = 0 Next For I = 1 To N 基本数据计算 SUM = SUM + X(I) SUM2 = SUM2 + X(I) * X(I) MsgBox index & index(I) SUMI(index(I) = SUMI(index(I) + X(I) SUMi2(index(I) = SUMi2(index(I) + X(I) * X(I) NI(index(I) = NI(index(I) + 1 If mini(index(I) X(I) Then mini(index(I) = X(I) If maxi(index(I) X(I) Then maxi(index(I) = X(I) If min X(I) Then min = X(I) If max X(I) Then max = X(I) Next For I = 1 To NK 二级数据计算 MsgBox I & & NI(I) AVEI(I) = SUMI(I) / NI(I) SEI2(I) = (SUMi2(I) - SUMI(I) * SUMI(I) / NI(I) / NI(I) Next ave = SUM / N se2 = (SUM2 - SUM * SUM / N) / NEnd Sub以上2012.06.08 加Sub 多指标方差分析及多重比较() 测试用20110307晚 Dim I As Integer, J As Integer, N As Integer Dim NK As Integer, nxy As Integer: Dim tool As New stat_tool_OK_20120414 Dim anova As New ssanddf_A_R_ok NK = 8 nxy = 4 N = 244 ReDim a(N, 3) As String, X(N, 11) As Double, indexa(N, N) As Integer, indexSTR(58, N) As String, xname(nxy) As String For I = 1 To N: For J = 1 To nxy a(I, 1) = Cells(I + 1, 2) 可以更改列数 X(I, J) = Cells(I + 1, J + 2) Next: Next tool.索引化 a, N, 2, indexa, indexSTR For I = 1 To N Cells(I + 1, 8) = indexa(I, 1) Next MsgBox ReDim xX(N) As Double ReDim index(N) As Integer Dim ff As Double, p As Double For I = 1 To N: index(I) = indexa(I, 1): Next ReDim SEI2(NK) As Double, NI(NK) As Integer, AVEI(NK) As Double, maxi(NK) As Double, mini(NK) As Double ReDim nam(NK) As String, newname(NK) As String, LABLE(NK) As String Dim se2 As Double, ave As Double, max As Double, min As Double For I = 1 To NK nam(I) = indexSTR(1, I) Next Dim SORTKEY(20) As Double, NEWSORTKEY(20) As Double, NEWNI(20) As Integer, newSE(20) As Double, f As Integer Dim SE(20) As Double For J = 1 To nxy 外循环，变量 For I = 1 To N: xX(I) = X(I, J): Next Call basestat(index, xX, N, NK, AVEI, NI, SEI2, mini, maxi, ave, se2, min, max) For I = 1 To NK SORTKEY(I) = AVEI(I) Next anova.SSanddf_A_R index, xX, N ff = anova.MSa / anova.MSe p = tool.vbaFDIST(ff, anova.dfa, anova.dfe) tool.BlockSort_multSE SORTKEY, nam, NI, SEI2, NEWSORTKEY, newname, NEWNI, newSE, NK Cells(N + 5 + (NK + 5) * (J - 1) - 1, 1) = Cells(1, J + 2) & F Cells(N + 5 + (NK + 5) * (J - 1) - 1, 2) = 因素均方 Cells(N + 5 + (NK + 5) * (J - 1) - 1, 3) = 误差均方 Cells(N + 5 + (NK + 5) * (J - 1) - 1, 4) = 因素自由度 Cells(N + 5 + (NK + 5) * (J - 1) - 1, 5) = 误差自由度 Cells(N + 5 + (NK + 5) * (J - 1) - 1, 6) = 无差别概率 Cells(N + 5 + (NK + 5) * (J - 1), 1) = ff Cells(N + 5 + (NK + 5) * (J - 1), 2) = anova.MSa Cells(N + 5 + (NK + 5) * (J - 1), 3) = anova.MSe Cells(N + 5 + (NK + 5) * (J - 1), 4) = anova.dfa Cells(N + 5 + (NK + 5) * (J - 1), 5) = anova.dfe Cells(N + 5 + (NK + 5) * (J - 1), 6) = p For I = 1 To NK Cells(N + 6 + (NK + 5) * (J - 1), 1) = 水平名称 Cells(N + 6 + (NK + 5) * (J - 1), 2) = 均值 Cells(N + 6 + (NK + 5) * (J - 1), 3) = 方差 Cells(N + 6 + (NK + 5) * (J - 1), 4) = 频次 Cells(N + 6 + (NK + 5) * (J - 1), 5) = 0.05水平 Cells(N + 6 + (NK + 5) * (J - 1), 6) = 0.01水平 Cells(N + 6 + (NK + 5) * (J - 1) + I, 1) = newname(I) Cells(N + 6 + (NK + 5) * (J - 1) + I, 2) = NEWSORTKEY(I) Cells(N + 6 + (NK + 5) * (J - 1) + I, 3) = newSE(I) Cells(N + 6 + (NK + 5) * (J - 1) + I, 4) = NEWNI(I) Next tool.multicompT_multSE newname, NEWNI, NEWSORTKEY, LABLE, f, newSE, 0.05, NK 改用两两比较更适合 For I = 1 To NK Cells(N + 6 + (NK + 5) * (J - 1) + I, 5) = LABLE(I) Next tool.multicompT_multSE newname, NEWNI, NEWSORTKEY, LABLE, f, newSE, 0.01, NK 改用两两比较更适合 For I = 1 To NK Cells(N + 6 + (NK + 5) * (J - 1) + I, 6) = LABLE(I) Next Next End SubSub test分类() 测试用20110307晚 Dim aname As Range Dim I As Integer, J As Integer, N As Integer, nxy As Integer Dim tool As New stat_tool_OK_20120414 Dim anova As New ssanddf_A_R_ok N = 11 ReDim a(N, 58) As String, X(N) As Double, indexa(N, 58) As Integer, index(N) As Integer, indexSTR(N, 58) As String For I = 1 To N X(I) = Cells(I + 1, 13) Next For I = 1 To N: For J = 1 To N - 2 a(I, J) = Cells(I + 1, J + 1) Next: Next tool.索引化 a, N, N - 2, indexa, indexSTR For J = 1 To N - 2 For I = 1 To N index(I) = indexa(I, J) Next anova.SSanddf_A_R index, X, N Dim ff As Double, p As Double ff = anova.MSa / anova.MSe p = tool.vbaFDIST(ff, anova.dfa, anova.dfe) Cells(22, 1 + J) = p Cells(23, 1 + J) = ff Cells(24, 1 + J) = anova.SSa Cells(25, 1 + J) = anova.dfa Cells(26, 1 + J) = anova.SSe Cells(27, 1 + J) = anova.dfe Next a.multiComp aNAME, SSR, 15, 6.73, 0.05 a.multiComp aNAME, SSR, 15, 6.73, 0