https://github.com/cran/rstpm2
Revision 4f6cced2730ffce02a21c60576beee964f690a74 authored by Mark Clements on 29 May 2018, 12:45:06 UTC, committed by cran-robot on 29 May 2018, 12:45:06 UTC
1 parent 8d14fde
Tip revision: 4f6cced2730ffce02a21c60576beee964f690a74 authored by Mark Clements on 29 May 2018, 12:45:06 UTC
version 1.4.2
version 1.4.2
Tip revision: 4f6cced
RuniqueCombs.c
/*
* =====================================================================================
*
* Filename: RuniqueCombs.c
*
* Description: The routines are copied from the R package mgcv
* which is downloaded from
* http://cran.r-project.org/web/packages/mgcv/
*
* Copyright (C) 2000-2005 Simon N. Wood simon.wood@r-project.org
*
* Created: 30/04/2011 06:22:46
* Revision: none
* Compiler: gcc
*
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* as published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
* (www.gnu.org/copyleft/gpl.html)
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307,
* USA.
*
*
*
*
* =====================================================================================
*/
#ifdef WINDOWS
#include <windows.h> /* For easy self window porting, without neading everything R.h needs */
#include <stdarg.h>
#else
#include <R.h>
#endif
#include <stdio.h>
#include <math.h>
#include <stdlib.h>
#include <string.h>
#include <stdarg.h>
#include "RuniqueCombs.h"
#define RANGECHECK
#define PAD 1L
#define ROUND(a) ((a)-(int)floor(a)>0.5) ? ((int)floor(a)+1):((int)floor(a))
matrix null_mat; /* matrix for passing when you don't actually need to */
#define PADCON (-1.234565433647588392902028934e270)
/* counter for memory used */
long memused=0L,matrallocd=0L;
/* the routines */
struct mrec
{ matrix mat;
struct mrec *fp,*bp;
};
typedef struct mrec MREC;
void ErrorMessage(char *msg,int fatal)
{
#ifdef WINDOWS
MessageBox(HWND_DESKTOP,msg,"Info!",MB_ICONEXCLAMATION|MB_OK);
#else
if (fatal) error("%s",msg);else warning("%s",msg);
#endif
}
matrix null_mat;
MREC *top,*bottom;
matrix Rmatrix(double *A,long r,long c)
/* produces a matrix from the array containing a (default) R matrix stored:
A[0,0], A[1,0], A[2,0] .... etc */
{ int i,j;
matrix M;
M=initmat(r,c);
for (i=0;i<r;i++) for (j=0;j<c;j++) M.M[i][j]=A[i+j*r];
return(M);
}
matrix initmat(rows,cols) long rows,cols;
/* Don't alter this without altering freemat() as well !! */
{ matrix A;long i,j,pad;
#ifdef RANGECHECK
pad=PAD;
#else
pad=0L;
#endif
A.vec=0;
A.M=(double **)calloc((size_t)(rows+2*pad),sizeof(double *));
if ((cols==1L)||(rows==1L))
{ if (A.M)
A.M[0]=(double *)calloc((size_t)(cols*rows+2*pad),sizeof(double));
for (i=1L;i<rows+2*pad;i++)
A.M[i]=A.M[0]+i*cols;A.vec=1;
} else
{ if (A.M)
for (i=0L;i<rows+2*pad;i++)
A.M[i]=(double *)calloc((size_t)(cols+2*pad),sizeof(double));
}
A.mem=rows*cols*sizeof(double);
memused+=A.mem;matrallocd++;
A.original_r=A.r=rows;A.original_c=A.c=cols;
if (((!A.M)||(!A.M[rows-1+2*pad]))&&(rows*cols>0L))
{ ErrorMessage("Failed to initialize memory for matrix.",1);}
if (pad) /* This lot is debugging code that checks out matrix errors
on allocation and release */
{ if (A.vec)
{ A.V=A.M[0];for (i=0;i<pad;i++) { A.V[i]=PADCON;A.V[i+pad+A.r*A.c]=PADCON;}
} else
{ for (i=0;i<A.r+2*pad;i++)
{ for (j=0;j<pad;j++) A.M[i][j]=PADCON;
for (j=A.c+pad;j<A.c+2*pad;j++) A.M[i][j]=PADCON;
}
for (i=0;i<A.c+2*pad;i++)
{ for (j=0;j<pad;j++) A.M[j][i]=PADCON;
for (j=A.r+pad;j<A.r+2*pad;j++) A.M[j][i]=PADCON;
}
}
for (i=0;i<A.r+2*pad;i++)
for (j=0;j<pad;j++) A.M[i]++; /* shifting pointers forward past padding */
if (!A.vec) for (j=0;j<pad;j++) A.M++;
A.V=A.M[0];
/* putting a record of the matrix on the linked list of all extant matrices */
if (matrallocd==1) /*new list*/
{ top=bottom=(MREC *)calloc(1,sizeof(MREC));
bottom->mat=top->mat=A;top->bp=bottom;bottom->fp=top;
} else /* expanding the linked list by one */
{ top->fp=(MREC *)calloc(1,sizeof(MREC));
top->fp->mat=A;top->fp->bp=top;top=top->fp; /* crystal clear, no? */
}
}
A.V=A.M[0];/* This allows vectors to be accessed using A.V[i] */
return(A);
}
void mcopy(matrix *A,matrix *B)
/* copies A into B */
{ long Ac;
double *pA,*pB,**AM,**BM;
if (A->r>B->r||A->c>B->c) ErrorMessage("Target matrix too small in mcopy",1);
BM=B->M;Ac=A->c;
for (AM=A->M;AM<A->M+A->r;AM++)
{ pB= *BM;
for (pA= *AM;pA< *AM+Ac; pA++) *(pB++) = *pA;
BM++;
}
}
void freemat(A) matrix A;
{ long i,j,pad;int ok=1;
MREC *delet;
#ifdef RANGECHECK
pad=PAD;
#else
pad=0L;
#endif
/* if (A.original_r*A.original_c!=0L) */
{ if (pad)
{ if (A.vec)
{ for (i=-pad;i<0;i++)
if ((A.V[i]!=PADCON)||(A.V[i+A.original_r*A.original_c+pad]!=PADCON))
ok=0;
} else
{ for (i=-pad;i<A.original_r+pad;i++)
{ for (j=A.original_c;j<A.original_c+pad;j++) if (A.M[i][j]!=PADCON) ok=0;
for (j=-pad;j<0;j++) if (A.M[i][j]!=PADCON) ok=0;
}
for (i=-pad;i<A.original_c+pad;i++)
{ for (j=A.original_r;j<A.original_r+pad;j++) if (A.M[j][i]!=PADCON) ok=0;
for (j=-pad;j<0;j++) if (A.M[j][i]!=PADCON) ok=0;
}
}
if (!ok)
{ ErrorMessage("An out of bound write to matrix has occurred!",1);
}
/* find the matrix being deleted in the linked list of extant matrices */
i=0L;delet=bottom;
while ((i<matrallocd)&&(delet->mat.M!=A.M)) { i++;delet=delet->fp;}
if (i==matrallocd)
{ ErrorMessage("INTEGRITY PROBLEM in the extant matrix list.",1);
} else
{ if (i)
delet->bp->fp=delet->fp;
else bottom=delet->fp;
if (i!=matrallocd-1)
delet->fp->bp=delet->bp;
else top=delet->bp;
free(delet);
}
/* repositioning pointers so that what was allocated gets freed */
if (!A.vec) for (i=0;i<pad;i++) A.M--;
for (i=0;i<A.original_r+2*pad;i++)
for (j=0;j<pad;j++) A.M[i]--;
}
if (A.vec) free(A.M[0]); else
for (i=0;i<A.original_r+2*pad;i++) if (A.M[i]) free(A.M[i]);
if (A.M) free(A.M);
memused -= A.mem;matrallocd--;
}
}
void RArrayFromMatrix(double *a,long r,matrix *M)
/* copies matrix *M into R array a where r is the number of rows of A treated as
a matrix by R */
{ int i,j;
for (i=0;i<M->r;i++) for (j=0;j<M->c;j++) a[i+r*j]=M->M[i][j];
}
int *Xd_strip(matrix *Xd)
/* The rows of Xd (excluding last col) contain the covariate values for
a set of data to which a thin plate spline is to be fitted. The purpose
of this routine is to locate co-incident points, and strip out redundant
copies of these points. At the same time a record is kept of what has
been done, so that the function returns an array yxindex, such that
yxindex[i] contains the row of the stripped down Xd that corresponds to
the ith response datum. Note that the identification of ties involves
sorting Xd - even if there are no ties.
Note that this routine assumes that the final column of Xd consists of the
integers 0 to Xd->r-1. These are vital for constructing the index.
On exit Xd->r will contain the number of unique covariate points.
*/
{ int *yxindex,start,stop,ok,i;
/* long Xdor;*/
double xi,**dum;
yxindex = (int *)calloc((size_t)Xd->r,sizeof(int));
dum = (double **)calloc((size_t)Xd->r,sizeof(double *));
msort(*Xd);
/* Xdor=Xd->r; keep record of original length of Xd */
start=stop=0;ok=1;
while(ok)
{ /* look for start of run of equal rows ..... */
while(start<Xd->r-1&&!Xd_row_comp(Xd->M[start],Xd->M[start+1],(int)Xd->c-1))
{ /* Xd->M[start] not tied with anything, nothing to erase.... */
xi=Xd->M[start][Xd->c-1];
yxindex[ROUND(xi)]=start;
start++;
}
if (start==Xd->r-1)
{ ok=0; /* reached end with no more ties */
xi=Xd->M[start][Xd->c-1];
yxindex[ROUND(xi)]=start; /* final index entry needed */
}
if (ok) /* search for end of run */
{ stop=start+1;
while(stop<Xd->r-1&&Xd_row_comp(Xd->M[stop],Xd->M[stop+1],(int)Xd->c-1)) stop++;
for (i=start;i<=stop;i++) /* fill out the index array */
{ xi=Xd->M[i][Xd->c-1];
yxindex[ROUND(xi)]=start;
dum[i-start]=Xd->M[i]; /* Rows stored to copy back onto end, so matrix can be freed properly */
}
for (i=stop+1;i<Xd->r;i++)
{ Xd->M[i-stop+start]=Xd->M[i];}
Xd->r -= stop-start;
for (i=1;i<=stop-start;i++)
{ Xd->M[Xd->r-1+i]=dum[i];}
}
}
free(dum);
return(yxindex);
}
int Xd_row_comp(double *a,double *b,int k)
/* service routine for Xd_strip(), compares k elements of two rows for equality */
{ int i;
for (i=0;i<k;i++) if (a[i]!=b[i]) return(0);
return(1);
}
int real_elemcmp(const void *a,const void *b,int el)
{ static int k=0;
int i;
double *na,*nb;
if (el>=0) { k=el;return(0);}
na=(*(double **)a);nb=(*(double **)b);
for (i=0;i<k;i++)
{ if (na[i]<nb[i]) return(-1);
if (na[i]>nb[i]) return(1);
}
return(0);
}
int melemcmp(const void *a,const void *b)
{ return(real_elemcmp(a,b,-1));
}
void msort(matrix a)
/* sorts a matrix, in situ, using standard routine qsort so
that its first col is in ascending order, its second col
is in ascending order for any ties in the first col, and
so on.....
*/
{ double z=0.0;
real_elemcmp(&z,&z,(int)a.c);
qsort(a.M,(size_t)a.r,sizeof(a.M[0]),melemcmp);
}
void RuniqueCombs(double *X,int *ind,int *r, int *c)
/* X is a matrix. This routine finds its unique rows and strips out the
duplicates. This is useful for finding out the number of unique covariate
combinations present in a set of data. */
{ matrix B,Xd;
int i,*ind1;
B=Rmatrix(X,(long)(*r),(long)(*c));
Xd=initmat(B.r,B.c+1);
Xd.c--;mcopy(&B,&Xd);freemat(B);Xd.c++;
for (i=0;i<Xd.r;i++) Xd.M[i][Xd.c-1]=(double)i;
ind1=Xd_strip(&Xd);
for (i=0;i<*r;i++) ind[i] = ind1[i]; /* copy index for return */
Xd.c--; /* hide index array */
RArrayFromMatrix(X,Xd.r,&Xd); /* NOTE: not sure about rows here!!!! */
*r = (int)Xd.r;
freemat(Xd);free(ind1);
#ifdef MEM_CHECK
dmalloc_log_unfreed(); dmalloc_verify(NULL);
#endif
}
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