Program g02bxfe
! G02BXF Example Program Text
! Mark 26.2 Release. NAG Copyright 2017.
! .. Use Statements ..
Use nag_library, Only: g02bxf, nag_wp, x04caf
! .. Implicit None Statement ..
Implicit None
! .. Parameters ..
Integer, Parameter :: nin = 5, nout = 6
! .. Local Scalars ..
Integer :: i, ifail, ldv, ldx, lwt, m, n
Logical :: zero_var
Character (1) :: weight
! .. Local Arrays ..
Real (Kind=nag_wp), Allocatable :: r(:,:), std(:), v(:,:), wt(:), &
x(:,:), xbar(:)
! .. Executable Statements ..
Write (nout,*) 'G02BXF Example Program Results'
Write (nout,*)
! Skip heading in data file
Read (nin,*)
! Read in problem size
Read (nin,*) weight, n, m
If (weight=='W' .Or. weight=='w') Then
lwt = n
Else
lwt = 0
End If
ldx = n
ldv = m
Allocate (x(ldx,m),wt(lwt),xbar(m),std(m),v(ldv,m),r(ldv,m))
! Read in data
If (lwt>0) Then
Read (nin,*)(x(i,1:m),wt(i),i=1,n)
Else
Read (nin,*)(x(i,1:m),i=1,n)
End If
! Calculate summary statistics
ifail = -1
Call g02bxf(weight,n,m,x,ldx,wt,xbar,std,v,ldv,r,ifail)
If (ifail/=0) Then
If (ifail==5) Then
zero_var = .True.
Else
Go To 100
End If
Else
zero_var = .False.
End If
! Display results
Write (nout,*) ' Means'
Write (nout,*)
Write (nout,99999)(xbar(i),i=1,m)
Write (nout,*)
Write (nout,*) ' Standard deviations'
Write (nout,*)
Write (nout,99999)(std(i),i=1,m)
Write (nout,*)
Flush (nout)
ifail = 0
Call x04caf('Upper','Non-unit',m,m,r,ldv,' Correlation matrix', &
ifail)
If (zero_var) Then
Write (nout,*) ' NOTE: some variances are zero'
End If
100 Continue
99999 Format (1X,10F13.4)
End Program g02bxfe