1 SUBROUTINE stat(x,n,av,var,xmin,xmax)
35 IF (x(i).LT.xmin) xmin = x(i)
36 IF (x(i).GT.xmax) xmax = x(i)
41 sum = sum + (x(i)-av)**2
52 parameter(mxwh=15,mxncat=100)
55 REAL av,avtr,var,vartr,
xmin,
xmax,pevt,psum,rtry
56 INTEGER i,is1,is2,itmp,iwhich,j,mxint,nperm,nrep,ntot,ntry,ncat
57 CHARACTER ctype*4,phrase*100
60 REAL array(1000),param(3),prob(mxncat)
61 INTEGER iarray(1000),perm(500)
74 9000
FORMAT (
' Tests most generators of specific distributions.'/
75 +
' Generates 1000 deviates: reports mean and variance.'/
76 +
' Also reports theoretical mean and variance.'/
77 +
' If theoretical mean or var doesn''t exist prints -1.'/
78 +
' For permutations, generates one permutation of 1..n'/
80 +
' For uniform integers asks for upper bound, number of'/
81 +
' replicates per integer in 1..upper bound.'/
82 +
' Prints table of num times each integer generated.'/
83 +
' For multinomial asks for number of events to be'/
84 +
' classified, number of categories in which they'/
85 +
' are to be classified, and the probabilities that'/
86 +
' an event will be classified in the categories,'/
87 +
' for all but the last category. Prints table of'/
88 +
' number of events by category, true probability'/
89 +
' associated with each category, and observed'/
90 +
' proportion of events in each category.')
96 9010
FORMAT (
' Enter number corresponding to choice:'/
97 +
' (0) Exit this program'/
98 +
' (1) Generate Chi-Square deviates'/
99 +
' (2) Generate noncentral Chi-Square deviates'/
100 +
' (3) Generate F deviates'/
101 +
' (4) Generate noncentral F deviates'/
102 +
' (5) Generate random permutation'/
103 +
' (6) Generate uniform integers'/
104 +
' (7) Generate uniform reals'/
105 +
' (8) Generate beta deviates'/
106 +
' (9) Generate binomial outcomes'/
107 +
' (10) Generate Poisson outcomes'/
108 +
' (11) Generate exponential deviates'/
109 +
' (12) Generate gamma deviates'/
110 +
' (13) Generate multinomial outcomes'/
111 +
' (14) Generate normal deviates'/
112 +
' (15) Generate negative binomial outcomes'/)
115 IF (.NOT. (iwhich.LT.0.OR.iwhich.GT.mxwh))
GO TO 20
116 WRITE (*,*)
' Choices are 1..',mxwh,
' - try again.'
119 20
IF (iwhich.EQ.0) stop
' Normal termination rn tests'
120 WRITE (*,*)
' Enter phrase to initialize rn generator'
121 READ (*,
'(a)') phrase
122 CALL phrtsd(phrase,is1,is2)
125 IF ((1).NE. (iwhich))
GO TO 40
130 WRITE (*,*)
' Enter (real) df for the chi-square generation'
133 array(i) =
genchi(param(1))
136 CALL trstat(ctype,param,avtr,vartr)
137 WRITE (*,9020) av,avtr,var,vartr,
xmin,
xmax
139 9020
FORMAT (
' Mean Generated: ',t30,g15.7,5x,
'True:',t60,
140 + g15.7/
' Variance Generated:',t30,g15.7,5x,
'True:',t60,
141 + g15.7/
' Minimum: ',t30,g15.7,5x,
'Maximum:',t60,g15.7)
145 40
IF ((2).NE. (iwhich))
GO TO 60
151 WRITE (*,*)
' Enter (real) df'
152 WRITE (*,*)
' (real) noncentrality parameter'
153 READ (*,*) param(1),param(2)
155 array(i) =
gennch(param(1),param(2))
158 CALL trstat(ctype,param,avtr,vartr)
159 WRITE (*,9020) av,avtr,var,vartr,
xmin,
xmax
162 60
IF ((3).NE. (iwhich))
GO TO 80
168 WRITE (*,*)
' Enter (real) df of the numerator'
169 WRITE (*,*)
' (real) df of the denominator'
170 READ (*,*) param(1),param(2)
172 array(i) =
genf(param(1),param(2))
175 CALL trstat(ctype,param,avtr,vartr)
176 WRITE (*,9020) av,avtr,var,vartr,
xmin,
xmax
179 80
IF ((4).NE. (iwhich))
GO TO 100
185 WRITE (*,*)
' Enter (real) df of the numerator'
186 WRITE (*,*)
' (real) df of the denominator'
187 WRITE (*,*)
' (real) noncentrality parameter'
188 READ (*,*) param(1),param(2),param(3)
190 array(i) =
gennf(param(1),param(2),param(3))
193 CALL trstat(ctype,param,avtr,vartr)
194 WRITE (*,9020) av,avtr,var,vartr,
xmin,
xmax
197 100
IF ((5).NE. (iwhich))
GO TO 140
202 110
WRITE (*,*)
' Enter size of permutation'
204 IF (.NOT. (nperm.LT.1.OR.nperm.GT.500))
GO TO 120
205 WRITE (*,*)
' Permutation size must be between 1 and 500 ',
209 120
WRITE (*,*)
' Random Permutation Generated - Size',nperm
214 WRITE (*,*)
' Perm Generated'
215 WRITE (*,
'(20I4)') (perm(i),i=1,nperm)
218 140
IF ((6).NE. (iwhich))
GO TO 170
223 WRITE (*,*)
' Enter maximum uniform integer'
225 WRITE (*,*)
' Enter number of replications per integer'
233 iarray(itmp) = iarray(itmp) + 1
235 WRITE (*,*)
' Counts of Integers Generated'
236 WRITE (*,
'(20I4)') (iarray(j),j=1,mxint)
239 170
IF ((7).NE. (iwhich))
GO TO 190
245 WRITE (*,*)
' Enter Low then High bound for uniforms'
246 READ (*,*) param(1),param(2)
248 array(i) =
genunf(param(1),param(2))
251 CALL trstat(ctype,param,avtr,vartr)
252 WRITE (*,9020) av,avtr,var,vartr,
xmin,
xmax
255 190
IF ((8).NE. (iwhich))
GO TO 210
261 WRITE (*,*)
' Enter A, B for Beta deviate'
262 READ (*,*) param(1),param(2)
264 array(i) =
genbet(param(1),param(2))
267 CALL trstat(ctype,param,avtr,vartr)
268 WRITE (*,9020) av,avtr,var,vartr,
xmin,
xmax
271 210
IF ((9).NE. (iwhich))
GO TO 240
277 WRITE (*,*)
' Enter number of trials, Prob event for ',
278 +
'binomial outcomes'
281 iarray(i) =
ignbin(ntry,pevt)
289 CALL trstat(ctype,param,avtr,vartr)
290 WRITE (*,9020) av,avtr,var,vartr,
xmin,
xmax
293 240
IF ((10).NE. (iwhich))
GO TO 270
299 WRITE (*,*)
' Enter mean for Poisson generation'
302 iarray(i) =
ignpoi(param(1))
308 CALL trstat(ctype,param,avtr,vartr)
309 WRITE (*,9020) av,avtr,var,vartr,
xmin,
xmax
312 270
IF ((11).NE. (iwhich))
GO TO 290
318 WRITE (*,*)
' Enter (real) AV for Exponential'
321 array(i) =
genexp(param(1))
324 CALL trstat(ctype,param,avtr,vartr)
325 WRITE (*,9020) av,avtr,var,vartr,
xmin,
xmax
329 290
IF ((12).NE. (iwhich))
GO TO 310
335 WRITE (*,*)
' Enter (real) A, (real) R for Gamma deviate'
336 READ (*,*) param(1),param(2)
338 array(i) =
gengam(param(1),param(2))
341 CALL trstat(ctype,param,avtr,vartr)
342 WRITE (*,9020) av,avtr,var,vartr,
xmin,
xmax
345 310
IF ((13).NE. (iwhich))
GO TO 360
350 WRITE (*,*)
' Enter (int) number of observations: '
352 320
WRITE (*,*)
' Enter (int) num. of categories: <= ',mxncat
354 IF (ncat.GT.mxncat)
THEN
355 WRITE (*,*)
' number of categories must be <= ',mxncat
356 WRITE (*,*)
' Try again ... '
359 WRITE (*,*)
' Enter (real) prob. vector of length ',ncat-1
360 READ (*,*) (prob(i),i=1,ncat-1)
361 CALL genmul(ntry,prob,ncat,iarray)
366 ntot = ntot + iarray(i)
367 array(i) = iarray(i)/rtry
371 ntot = ntot + iarray(i)
377 psum = psum + prob(i)
379 prob(ncat) = 1.0 - psum
381 WRITE (*,*)
' Total number of observations: ',ntot
382 WRITE (*,*)
' Total observations by category: '
383 WRITE (*,
'(10I8)') (iarray(i),i=1,ncat)
384 WRITE (*,*)
' True probabilities by category: '
385 WRITE (*,
'(8F10.7)') (prob(i),i=1,ncat)
386 WRITE (*,*)
' Observed proportions by category: '
387 WRITE (*,
'(8F10.7)') (array(i),i=1,ncat)
390 360
IF ((14).NE. (iwhich))
GO TO 380
396 WRITE (*,*)
' Enter (real) AV, (real) SD for Normal'
397 READ (*,*) param(1),param(2)
399 array(i) =
gennor(param(1),param(2))
402 CALL trstat(ctype,param,avtr,vartr)
403 WRITE (*,9020) av,avtr,var,vartr,
xmin,
xmax
406 380
IF ((15).NE. (iwhich))
GO TO 410
412 WRITE (*,*)
' Enter required (int) Number of events then '
413 WRITE (*,*)
' (real) Prob of an event for negative binomial'
416 iarray(i) =
ignnbn(ntry,pevt)
424 CALL trstat(ctype,param,avtr,vartr)
425 WRITE (*,9020) av,avtr,var,vartr,
xmin,
xmax
433 IMPLICIT INTEGER (i-n),
real(a-h,o-p,r-z),logical(q)
522 IF ((
'chis').NE. (ctype))
GO TO 10
527 10
IF ((
'ncch').NE. (ctype))
GO TO 20
528 a = parin(1) + parin(2)
534 20
IF ((
'f').NE. (ctype))
GO TO 70
535 IF (.NOT. (parin(2).LE.2.0001))
GO TO 30
539 30 av = parin(2)/ (parin(2)-2.0)
540 40
IF (.NOT. (parin(2).LE.4.0001))
GO TO 50
544 50 var = (2.0*parin(2)**2* (parin(1)+parin(2)-2.0))/
545 + (parin(1)* (parin(2)-2.0)**2* (parin(2)-4.0))
548 70
IF ((
'ncf').NE. (ctype))
GO TO 120
549 IF (.NOT. (parin(2).LE.2.0001))
GO TO 80
553 80 av = (parin(2)* (parin(1)+parin(3)))/ ((parin(2)-2.0)*parin(1))
554 90
IF (.NOT. (parin(2).LE.4.0001))
GO TO 100
558 100 a = (parin(1)+parin(3))**2 + (parin(1)+2.0*parin(3))*
560 b = (parin(2)-2.0)**2* (parin(2)-4.0)
561 var = 2.0* (parin(2)/parin(1))**2* (a/b)
564 120
IF ((
'unif').NE. (ctype))
GO TO 130
565 range = parin(2) - parin(1)
566 av = parin(1) + range/2.0
570 130
IF ((
'beta').NE. (ctype))
GO TO 140
571 av = parin(1)/ (parin(1)+parin(2))
572 var = (av*parin(2))/ ((parin(1)+parin(2))*
573 + (parin(1)+parin(2)+1.0))
576 140
IF ((
'bin').NE. (ctype))
GO TO 150
577 av = parin(1)*parin(2)
578 var = av* (1.0-parin(2))
581 150
IF ((
'pois').NE. (ctype))
GO TO 160
586 160
IF ((
'expo').NE. (ctype))
GO TO 170
591 170
IF ((
'gamm').NE. (ctype))
GO TO 180
592 av = parin(2) / parin(1)
596 180
IF ((
'norm').NE. (ctype))
GO TO 190
601 190
IF ((
'nbin').NE. (ctype))
GO TO 200
602 av = parin(1) * (1.0 - parin(2)) / parin(2)
606 200
WRITE (*,*)
'Unimplemented type ',ctype
607 stop
'Unimplemented type in TRSTAT'
ColumnVector real(const ComplexColumnVector &a)
real function genbet(aa, bb)
real function genf(dfn, dfd)
real function gengam(a, r)
subroutine genmul(n, p, ncat, ix)
real function gennch(df, xnonc)
real function gennf(dfn, dfd, xnonc)
real function gennor(av, sd)
subroutine genprm(iarray, larray)
real function genunf(low, high)
integer *4 function ignbin(n, pp)
integer *4 function ignnbn(n, p)
integer *4 function ignpoi(mu)
integer *4 function ignuin(low, high)
octave_int< T > xmin(const octave_int< T > &x, const octave_int< T > &y)
octave_int< T > xmax(const octave_int< T > &x, const octave_int< T > &y)
subroutine phrtsd(phrase, seed1, seed2)
subroutine setall(iseed1, iseed2)
subroutine stat(x, n, av, var, xmin, xmax)
subroutine trstat(ctype, parin, av, var)