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/*Mathlib : A C Library of Special FunctionsCopyright (C) 1999-2005 The R Development Core TeamThis program is free software; you can redistribute it and/or modifyit under the terms of the GNU General Public License as published bythe Free Software Foundation; either version 2 of the License, or (atyour option) any later version.This program is distributed in the hope that it will be useful, butWITHOUT ANY WARRANTY; without even the implied warranty ofMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNUGeneral Public License for more details.You should have received a copy of the GNU General Public Licensealong with this program; if not, write to the Free SoftwareFoundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA.SYNOPSIS#include <Rmath.h>double dwilcox(double x, double m, double n, int give_log)double pwilcox(double x, double m, double n, int lower_tail, int log_p)double qwilcox(double x, double m, double n, int lower_tail, int log_p);double rwilcox(double m, double n)DESCRIPTIONdwilcox The density of the Wilcoxon distribution.pwilcox The distribution function of the Wilcoxon distribution.qwilcox The quantile function of the Wilcoxon distribution.rwilcox Random variates from the Wilcoxon distribution.*/#include "nmath.h"#include "dpq.h"static double ***w; /* to store cwilcox(i,j,k) -> w[i][j][k] */static int allocated_m, allocated_n;static voidw_free(int m, int n){int i, j;for (i = m; i >= 0; i--) {for (j = n; j >= 0; j--) {if (w[i][j] != 0)free((void *) w[i][j]);}free((void *) w[i]);}free((void *) w);w = 0; allocated_m = allocated_n = 0;}static voidw_init_maybe(int m, int n){int i;if (w) {if (m > allocated_m || n > allocated_n)w_free(allocated_m, allocated_n); /* zeroes w */}if (!w) { /* initialize w[][] */if (m > n) {i = n; n = m; m = i;}m = imax2(m, WILCOX_MAX);n = imax2(n, WILCOX_MAX);w = (double ***) calloc(m + 1, sizeof(double **));if (!w)MATHLIB_ERROR(_("wilcox allocation error %d"), 1);for (i = 0; i <= m; i++) {w[i] = (double **) calloc(n + 1, sizeof(double *));if (!w[i]) {/* first free all earlier allocations */w_free(i-1, n);MATHLIB_ERROR(_("wilcox allocation error %d"), 2);}}allocated_m = m; allocated_n = n;}}static voidw_free_maybe(int m, int n){if (m > WILCOX_MAX || n > WILCOX_MAX)w_free(m, n);}/* This counts the number of choices with statistic = k */static doublecwilcox(int k, int m, int n){int c, u, i, j, l;#ifndef MATHLIB_STANDALONER_CheckUserInterrupt();#endifu = m * n;if (k < 0 || k > u)return(0);c = (int)(u / 2);if (k > c)k = u - k; /* hence k <= floor(u / 2) */if (m < n) {i = m; j = n;} else {i = n; j = m;} /* hence i <= j */if (j == 0) /* and hence i == 0 */return (k == 0);/* We can simplify things if k is small. Consider the Mann-Whitneydefinition, and sort y. Then if the statistic is k, no morethan k of the y's can be <= any x[i], and since they are sortedthese can only be in the first k. So the count is the same asif there were just k y's.*/if (j > 0 && k < j) return cwilcox(k, i, k);if (w[i][j] == 0) {w[i][j] = (double *) calloc(c + 1, sizeof(double));if (!w[i][j])MATHLIB_ERROR(_("wilcox allocation error %d"), 3);for (l = 0; l <= c; l++)w[i][j][l] = -1;}if (w[i][j][k] < 0) {if (j == 0) /* and hence i == 0 */w[i][j][k] = (k == 0);elsew[i][j][k] = cwilcox(k - j, i - 1, j) + cwilcox(k, i, j - 1);}return(w[i][j][k]);}double dwilcox(double x, double m, double n, int give_log){double d;#ifdef IEEE_754/* NaNs propagated correctly */if (ISNAN(x) || ISNAN(m) || ISNAN(n))return(x + m + n);#endifm = floor(m + 0.5);n = floor(n + 0.5);if (m <= 0 || n <= 0)ML_ERR_return_NAN;if (fabs(x - floor(x + 0.5)) > 1e-7)return(R_D__0);x = floor(x + 0.5);if ((x < 0) || (x > m * n))return(R_D__0);w_init_maybe(m, n);d = give_log ?log(cwilcox(x, m, n)) - lchoose(m + n, n) :cwilcox(x, m, n) / choose(m + n, n);return(d);}/* args have the same meaning as R function pwilcox */double pwilcox(double q, double m, double n, int lower_tail, int log_p){int i;double c, p;#ifdef IEEE_754if (ISNAN(q) || ISNAN(m) || ISNAN(n))return(q + m + n);#endifif (!R_FINITE(m) || !R_FINITE(n))ML_ERR_return_NAN;m = floor(m + 0.5);n = floor(n + 0.5);if (m <= 0 || n <= 0)ML_ERR_return_NAN;q = floor(q + 1e-7);if (q < 0.0)return(R_DT_0);if (q >= m * n)return(R_DT_1);w_init_maybe(m, n);c = choose(m + n, n);p = 0;/* Use summation of probs over the shorter range */if (q <= (m * n / 2)) {for (i = 0; i <= q; i++)p += cwilcox(i, m, n) / c;}else {q = m * n - q;for (i = 0; i < q; i++)p += cwilcox(i, m, n) / c;lower_tail = !lower_tail; /* p = 1 - p; */}return(R_DT_val(p));} /* pwilcox *//* x is 'p' in R function qwilcox */double qwilcox(double x, double m, double n, int lower_tail, int log_p){double c, p, q;#ifdef IEEE_754if (ISNAN(x) || ISNAN(m) || ISNAN(n))return(x + m + n);#endifif(!R_FINITE(x) || !R_FINITE(m) || !R_FINITE(n))ML_ERR_return_NAN;R_Q_P01_check(x);m = floor(m + 0.5);n = floor(n + 0.5);if (m <= 0 || n <= 0)ML_ERR_return_NAN;if (x == R_DT_0)return(0);if (x == R_DT_1)return(m * n);if(log_p || !lower_tail)x = R_DT_qIv(x); /* lower_tail,non-log "p" */w_init_maybe(m, n);c = choose(m + n, n);p = 0;q = 0;if (x <= 0.5) {x = x - 10 * DBL_EPSILON;for (;;) {p += cwilcox(q, m, n) / c;if (p >= x)break;q++;}}else {x = 1 - x + 10 * DBL_EPSILON;for (;;) {p += cwilcox(q, m, n) / c;if (p > x) {q = m * n - q;break;}q++;}}return(q);}double rwilcox(double m, double n){int i, j, k, *x;double r;#ifdef IEEE_754/* NaNs propagated correctly */if (ISNAN(m) || ISNAN(n))return(m + n);#endifm = floor(m + 0.5);n = floor(n + 0.5);if ((m < 0) || (n < 0))ML_ERR_return_NAN;if ((m == 0) || (n == 0))return(0);r = 0.0;k = (int) (m + n);x = (int *) calloc(k, sizeof(int));if (!x)MATHLIB_ERROR(_("wilcox allocation error %d"), 4);for (i = 0; i < k; i++)x[i] = i;for (i = 0; i < n; i++) {j = floor(k * unif_rand());r += x[j];x[j] = x[--k];}free(x);return(r - n * (n - 1) / 2);}void wilcox_free(){w_free_maybe(allocated_m, allocated_n);}