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TWOAV.FOR
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1985-11-29
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C
C ..................................................................
C
C SUBROUTINE TWOAV
C
C PURPOSE
C TEST WHETHER A NUMBER OF SAMPLES ARE FROM THE SAME
C POPULATION BY THE FRIEDMAN TWO-WAY ANALYSIS OF VARIANCE TEST
C
C USAGE
C CALL TWOAV(A,R,N,M,W,XR,NDF,NR)
C
C DESCRIPTION OF PARAMETERS
C A - INPUT MATRIX, N BY M, OF ORIGINAL DATA
C R - OUTPUT MATRIX, N BY M, OF RANKED DATA
C N - NUMBER OF GROUPS
C M - NUMBER OF CASES IN EACH GROUP
C W - WORK AREA OF LENGTH 2*M
C XR - FRIEDMAN STATISTIC (OUTPUT)
C NDF - NUMBER OF DEGREES OF FREEDOM (OUTPUT)
C NR - CODE, 0 FOR UNRANKED DATA IN A, 1 FOR RANKED DATA
C IN A (INPUT)
C
C REMARKS
C NONE
C
C SUBROUTINES AND FUNCTION SUBPROGRAMS REQUIRED
C RANK
C
C METHOD
C DESCRIBED IN S. SIEGEL, 'NONPARAMETRIC STATISTICS FOR THE
C BEHAVIORAL SCIENCES', MCGRAW-HILL, NEW YORK, 1956,
C CHAPTER 7
C
C ..................................................................
C
SUBROUTINE TWOAV (A,R,N,M,W,XR,NDF,NR)
DIMENSION A(1),R(1),W(1)
C
C DETERMINE WHETHER DATA IS RANKED
C
IF(NR-1) 10, 30, 10
C
C RANK DATA IN EACH GROUP AND ASSIGN TIED OBSERVATIONS AVERAGE
C OF TIED RANK
C
10 DO 20 I=1,N
IJ=I-N
IK=IJ
DO 15 J=1,M
IJ=IJ+N
15 W(J)=A(IJ)
CALL RANK (W,W(M+1),M)
DO 20 J=1,M
IK=IK+N
IW=M+J
20 R(IK)=W(IW)
GO TO 35
30 NM=N*M
DO 32 I=1,NM
32 R(I)=A(I)
C
C CALCULATE SUM OF SQUARES OF SUMS OF RANKS
C
35 RTSQ=0.0
IR=0
DO 50 J=1,M
RT=0.0
DO 40 I=1,N
IR=IR+1
40 RT=RT+R(IR)
50 RTSQ=RTSQ+RT*RT
C
C CALCULATE FRIEDMAN TEST VALUE, XR
C
FNM=N*(M+1)
FM=M
XR=(12.0/(FM*FNM))*RTSQ-3.0*FNM
C
C FIND DEGREES OF FREEDOM
C
NDF=M-1
RETURN
END