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stats.h File Reference

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Classes

struct  _TEST_STATS

Defines

#define HI_FILTER   3
#define LO_FILTER   1
#define HI_LO_FILTER   2
#define NO_FILTER   0
#define HIGH_FILTER   HI_FILTER
#define LOW_FILTER   LO_FILTER
#define HILO_FILTER   HI_LO_FILTER
#define HIGH_LOW_FILTER   HI_LO_FILTER

Typedefs

typedef _TEST_STATS TEST_STATS
typedef _TEST_STATS * PTEST_STATS

Functions

BOOL Get_Stats (double *array, long num_samples, const filter_option, long var_limit, PTEST_STATS stats)
BOOL GetAverage (double Sample_Array[], long No_Samples, double *Average)
BOOL GetStdDev (double Sample_Array[], double Average, long No_Samples, double *varcoef)
void SortUp (double *array, long array_size)
BOOL FilterResults (double Sorted_Array[], double *tmpAverage, double *tmpSD, long *tmpNumSamples, long limit, const filter_option)

Define Documentation

#define HI_FILTER   3
 

Definition at line 27 of file stats.h.

Referenced by FilterResults(), and WndProc().

#define HI_LO_FILTER   2
 

Definition at line 29 of file stats.h.

Referenced by FilterResults().

#define HIGH_FILTER   HI_FILTER
 

Definition at line 31 of file stats.h.

#define HIGH_LOW_FILTER   HI_LO_FILTER
 

Definition at line 34 of file stats.h.

#define HILO_FILTER   HI_LO_FILTER
 

Definition at line 33 of file stats.h.

#define LO_FILTER   1
 

Definition at line 28 of file stats.h.

Referenced by FilterResults().

#define LOW_FILTER   LO_FILTER
 

Definition at line 32 of file stats.h.

#define NO_FILTER   0
 

Definition at line 30 of file stats.h.

Referenced by Get_Stats().

Typedef Documentation

typedef struct _TEST_STATS * PTEST_STATS
 

Referenced by Get_Stats().

typedef struct _TEST_STATS TEST_STATS
 

Function Documentation

BOOL FilterResults (  double  Sorted_Array[],
double *  tmpAverage,
double *  tmpSD,
long *  tmpNumSamples,
long  limit,
const  filter_option
) 
 

Definition at line 280 of file stats.c.

References FALSE, GetStdDev(), HI_FILTER, HI_LO_FILTER, LO_FILTER, and TRUE.

Referenced by Get_Stats(). 

00287         {
00288 
00289 
00290                 switch (filter_option)
00291                 {
00292                         case HI_FILTER:
00293                         {
00294                                 while(*tmpSD > (double)limit)
00295                                 {
00296 
00297                                         if(*tmpNumSamples <= 2)return FALSE;
00298 
00299                                         (*tmpAverage)   *= (*tmpNumSamples);
00300                                         (*tmpAverage)   -= Sorted_Array[(*tmpNumSamples) - 1];
00301                                         (*tmpNumSamples)--;
00302                                         (*tmpAverage)   /= (*tmpNumSamples);
00303 
00304                                         GetStdDev(Sorted_Array, *tmpAverage, *tmpNumSamples, &(*tmpSD));
00305                                 
00306                                 }
00307                         
00308                                 if(*tmpSD < 0)return FALSE;
00309                         }
00310                         break;
00311 
00312                         case LO_FILTER:
00313                         {
00314 
00315                                 while(*tmpSD > (double)limit)
00316                                 {
00317 
00318                                         if(*tmpNumSamples <= 2)return FALSE;
00319 
00320                                         (*tmpAverage)   *= (*tmpNumSamples);
00321                                         (*tmpAverage)   -= (*Sorted_Array);
00322                                         Sorted_Array++;
00323                                         (*tmpNumSamples)--;
00324                                         (*tmpAverage)   /= (*tmpNumSamples);
00325 
00326                                         GetStdDev(Sorted_Array, *tmpAverage, *tmpNumSamples, &(*tmpSD));
00327                                 
00328                                 }
00329                         
00330                                 if(*tmpSD < 0)return FALSE;
00331 
00332                         }
00333                         break;
00334 
00335                         case HI_LO_FILTER:
00336                         {
00337                                 
00338                                 while(*tmpSD > (double)limit)
00339                                 {
00340 
00341                                         if(*tmpNumSamples <= 2)return FALSE;
00342 
00343                                         if(fabs((*Sorted_Array) - (*tmpAverage)) > fabs(Sorted_Array[*tmpNumSamples - 1] - *tmpAverage))
00344                                         {
00345                                                 (*tmpAverage)   *= (*tmpNumSamples);
00346                                                 (*tmpAverage)   -= (*Sorted_Array);
00347                                                 Sorted_Array++;
00348                                         }
00349                                         else
00350                                         {
00351                                                 (*tmpAverage)   *= (*tmpNumSamples);
00352                                                 (*tmpAverage)   -= Sorted_Array[(*tmpNumSamples) - 1];
00353                                         }                                               
00354 
00355                                         (*tmpNumSamples)--;
00356                                         (*tmpAverage)   /= (*tmpNumSamples);
00357 
00358                                         GetStdDev(Sorted_Array, *tmpAverage, *tmpNumSamples, &(*tmpSD));
00359                                 
00360                                 }
00361                         
00362                                 if(*tmpSD < 0)return FALSE;
00363 
00364                         }
00365                         break;
00366 
00367                         default:
00368                         return FALSE;
00369 
00370                 }                               //switch filter_option
00371 
00372                 return TRUE;
00373                                                 
00374         }

BOOL Get_Stats (  double *  array,
long  num_samples,
const  filter_option,
long  var_limit,
PTEST_STATS  stats
) 
 

Definition at line 61 of file stats.c.

References _TEST_STATS::Average, FALSE, FilterResults(), GetAverage(), GetStdDev(), _TEST_STATS::Maximum_Result, _TEST_STATS::Minimum_Result, NO_FILTER, _TEST_STATS::NumSamplesValid, PTEST_STATS, SortUp(), _TEST_STATS::StdDev, and TRUE.

Referenced by WndProc(). 

00068         {  
00069 
00070                 double  Averagetmp;
00071                 double  StdDevtmp;
00072                 long    NumSamplestmp;
00073 
00074                 if(!GetAverage(array, num_samples, &Averagetmp))
00075                         return FALSE; 
00076 
00077                 SortUp(array, num_samples);
00078 
00079                 if(!GetStdDev(array, Averagetmp, num_samples, &StdDevtmp))
00080                         return FALSE;
00081 
00082                 stats->Minimum_Result   = array[0];
00083                 stats->Maximum_Result   = array[num_samples - 1];
00084 
00085                 if(filter_option == NO_FILTER)
00086                 {
00087                         stats->Average = Averagetmp;
00088                         stats->StdDev  = StdDevtmp;
00089                         stats->NumSamplesValid  = num_samples;
00090                         return TRUE;
00091                 }
00092 
00093 
00094                 NumSamplestmp   = num_samples;
00095                 if(!FilterResults(array,&Averagetmp,&StdDevtmp,&NumSamplestmp,var_limit,filter_option))
00096                         return FALSE;
00097 
00098                 stats->Average                          = Averagetmp;
00099                 stats->StdDev                           = StdDevtmp;
00100                 stats->NumSamplesValid          = NumSamplestmp;
00101                 return TRUE;
00102 
00103         }

BOOL GetAverage (  double  Sample_Array[],
long  No_Samples,
double *  Average
) 
 

Definition at line 126 of file stats.c.

References FALSE, and TRUE.

Referenced by Get_Stats(). 

00130         {
00131                 long i;
00132                 (*Average) = 0.0;
00133                 
00134                 if(No_Samples == 0)return FALSE;
00135 
00136                 for(i = 0; i < No_Samples; i++)
00137                 {
00138                         (*Average) += Sample_Array[i];
00139                 }
00140 
00141                 (*Average) /= No_Samples;
00142 
00143                 return TRUE;
00144 
00145         }

BOOL GetStdDev (  double  Sample_Array[],
double  Average,
long  No_Samples,
double *  varcoef
) 
 

Definition at line 172 of file stats.c.

References FALSE, L, Sum, and TRUE.

Referenced by FilterResults(), and Get_Stats(). 

00177         {
00178                 long    i;
00179                 double  tmp;
00180                 double  Sum = 0.0;
00181 
00182                 if(No_Samples <= 1L)
00183                 {
00184                         return FALSE;
00185                 }
00186 
00187                 for(i=0; i<No_Samples; i++)
00188                 {
00189                         tmp = (Sample_Array[i] - Average);
00190                         Sum += (tmp*tmp);
00191                 }
00192 
00193                 Sum /= (No_Samples - 1);
00194 
00195                 if(fabs( (float)Average) < 1.E-6)
00196                 {
00197                         *varcoef = (-sqrt(Sum));        // return the Standard Deviation itself in negative sign for distinction
00198                 }                       
00199                 else
00200                 {
00201                         *varcoef = (100*sqrt(Sum)/Average);     // return the variation coeficient in percents
00202                 }
00203 
00204                 return TRUE;
00205         }

void SortUp (  double *  array,
long  array_size
) 
 

Definition at line 226 of file stats.c.

Referenced by Get_Stats(). 

00229         {
00230                 long gap, i, j;
00231                 double temp;
00232                         
00233                 for(gap = array_size/2; gap > 0; gap /= 2)
00234                         for(i = gap; i < array_size; i++)
00235                                 for(j = i - gap; j >= 0 && array[j] > array[j + gap]; j -= gap)
00236                                 {
00237                                         temp = array[j];
00238                                         array[j] = array[j + gap];
00239                                         array[j + gap] = temp;
00240                                 }
00241 
00242         }

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