Program g02bzfe ! G02BZFE Example Program Text ! Mark 24 Release. NAG Copyright 2012. ! .. Use Statements .. Use nag_library, Only: dscal, g02buf, g02bzf, nag_wp, x04ccf ! .. Implicit None Statement .. Implicit None ! .. Parameters .. Integer, Parameter :: nin = 5, nout = 6 ! .. Local Scalars .. Real (Kind=nag_wp) :: alpha, xsw, ysw Integer :: b, i, ierr, ifail, lc, ldx, m, n Character (1) :: mean, weight ! .. Local Arrays .. Real (Kind=nag_wp), Allocatable :: wt(:), x(:,:), xc(:), xmean(:), & yc(:), ymean(:) ! .. Executable Statements .. Write (nout,*) 'G02BZF Example Program Results' Write (nout,*) ! Skip heading in data file Read (nin,*) ! Read in the problem defining variables Read (nin,*) mean, m ! Allocate memory for output arrays lc = (m*m+m)/2 Allocate (xmean(m),ymean(m),xc(lc),yc(lc)) ! Loop over each block of data b = 0 Do ! Read in the number of observations in this block and the weight flag Read (nin,*,Iostat=ierr) n, weight If (ierr/=0) Exit ! Keep a running total of the number of blocks of data b = b + 1 ! Allocate arrays to hold data and read the current block of data in ldx = n Allocate (x(ldx,m)) If (weight=='W' .Or. weight=='w') Then ! Weighted Allocate (wt(n)) Do i = 1, n Read (nin,*) x(i,1:m), wt(i) End Do Else ! Unweighted Allocate (wt(0)) Do i = 1, n Read (nin,*) x(i,1:m) End Do End If ! Summarise this block of data If (b==1) Then ! This is the first block of data, so summarise the data into XMEAN ! and XC ifail = 0 Call g02buf(mean,weight,n,m,x,ldx,wt,xsw,xmean,xc,ifail) Else ! This is not the first block of data, so summarise the data into ! YMEAN and YC ifail = 0 Call g02buf(mean,weight,n,m,x,ldx,wt,ysw,ymean,yc,ifail) ! Update the running summaries ifail = 0 Call g02bzf(mean,m,xsw,xmean,xc,ysw,ymean,yc,ifail) End If Deallocate (x,wt) End Do ! Display results Write (nout,*) 'Means' Write (nout,99999) xmean(1:m) Write (nout,*) ifail = 0 Call x04ccf('Upper','Non-unit',m,xc,'Sums of squares and cross-products' & ,ifail) If (xsw>1.0_nag_wp .And. (mean=='M' .Or. mean=='m')) Then ! Use DSCAL (F06EDF) to scale the sums of squares and cross-products ! matrix XC, and so convert it to a covariance matrix alpha = 1.0_nag_wp/(xsw-1.0_nag_wp) Call dscal(lc,alpha,xc,1) Write (nout,*) ifail = 0 Call x04ccf('Upper','Non-unit',m,xc,'Covariance matrix',ifail) End If 99999 Format (1X,6F14.4) End Program g02bzfe