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MATHSTAT.C
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1997-07-05
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/* +++Date last modified: 05-Jul-1997 */
/*
** MATHSTAT.C - Statistical analysis in C and C++
**
** Public domain by Bob Stout
*/
#include <stddef.h>
#include <float.h>
#include "mathstat.h"
/*
** Initialize a stat structure
*/
#if !(__cplusplus)
void stat_init(Stat_T *ptr)
{
ptr->count = 0;
ptr->total = 0.0;
ptr->total2 = 0.0;
ptr->recip = 0.0;
ptr->product = 1.0;
ptr->min1 = ptr->min2 = ptr->oldmin = DBL_MAX;
ptr->max1 = ptr->max2 = ptr->oldmax = DBL_MIN;
}
#else /* C++ */
inline Stat::Stat()
{
count = 0;
total = 0.0;
total2 = 0.0;
recip = 0.0;
product = 1.0;
min1 = min2 = oldmin = DBL_MAX;
max1 = max2 = oldmax = DBL_MIN;
}
#endif
/*
** Return the number of data points
*/
#if !(__cplusplus)
size_t stat_count(Stat_T *ptr)
{
return ptr->count;
}
#else /* C++ */
inline size_t Stat::Count()
{
return count;
}
#endif
/*
** Add a value for statistical analysis
*/
#if !(__cplusplus)
size_t stat_add(double datum, Stat_T *ptr)
{
ptr->total += datum;
ptr->total2 += (datum * datum);
ptr->recip += 1.0 / datum;
ptr->product *= datum;
++(ptr->count);
if (datum < ptr->min1)
{
ptr->oldmin = ptr->min1;
ptr->min1 = datum;
}
else if (datum < ptr->min2)
ptr->min2 = datum;
if (datum > ptr->max1)
{
ptr->oldmax = ptr->max1;
ptr->max1 = datum;
}
else if (datum < ptr->max2)
ptr->max2 = datum;
return ptr->count;
}
#else /* C++ */
size_t Stat::Add(double datum)
{
total += datum;
total2 += (datum * datum);
recip += 1.0 / datum;
product *= datum;
++(count);
if (datum < min1)
{
oldmin = min1;
min1 = datum;
}
else if (datum < min2)
min2 = datum;
if (datum > max1)
{
oldmax = max1;
max1 = datum;
}
else if (datum < max2)
max2 = datum;
return count;
}
#endif
/*
** Delete a value from a statistical analysis
*/
#if !(__cplusplus)
size_t stat_delete(double datum, Stat_T *ptr)
{
ptr->total -= datum;
ptr->total2 -= (datum * datum);
ptr->recip -= 1.0 / datum;
ptr->product /= datum;
--(ptr->count);
if (datum == ptr->min1)
ptr->min1 = (DBL_MAX == ptr->oldmin) ? ptr->min2 : ptr->oldmin;
if (datum == ptr->max1)
ptr->max1 = (DBL_MIN == ptr->oldmax) ? ptr->max2 : ptr->oldmax;
return ptr->count;
}
#else /* C++ */
size_t Stat::Delete(double datum)
{
total -= datum;
total2 -= (datum * datum);
recip -= 1.0 / datum;
product /= datum;
--(count);
if (datum == min1)
min1 = (DBL_MAX == oldmin) ? min2 : oldmin;
if (datum == max1)
max1 = (DBL_MIN == oldmax) ? max2 : oldmax;
return count;
}
#endif
/*
** "Olympic filter" - toss out the high and low data
*/
#if !(__cplusplus)
Boolean_T stat_olympic(Stat_T *ptr)
{
if (ptr->count < 3)
return Error_;
stat_delete(ptr->min1, ptr);
stat_delete(ptr->max1, ptr);
return Success_;
}
#else /* C++ */
Boolean_T Stat::Olympic()
{
if (count < 3)
return Error_;
Delete(min1);
Delete(max1);
return Success_;
}
#endif
/*
** Return the minimum datum
*/
#if !(__cplusplus)
double stat_min(Stat_T *ptr)
{
return ptr->min1;
}
#else /* C++ */
inline double Stat::Min()
{
return min1;
}
#endif
/*
** Return the maximum datum
*/
#if !(__cplusplus)
double stat_max(Stat_T *ptr)
{
return ptr->max1;
}
#else /* C++ */
inline double Stat::Max()
{
return max1;
}
#endif
/*
** Return the error (%) for the minimum datum
*/
#if !(__cplusplus)
double stat_minerror(Stat_T *ptr)
{
double Mean = stat_mean(ptr);
return 100.0 * ((ptr->min1 - Mean) / Mean) ;
}
#else /* C++ */
double Stat::Minerror()
{
double mean_ = Mean();
return 100.0 * ((min1 - mean_) / mean_) ;
}
#endif
/*
** Return the error (%) for the maximum datum
*/
#if !(__cplusplus)
double stat_maxerror(Stat_T *ptr)
{
double Mean = stat_mean(ptr);
return 100.0 * ((ptr->max1 - Mean) / Mean) ;
}
#else /* C++ */
double Stat::Maxerror()
{
double mean_ = Mean();
return 100.0 * ((max1 - mean_) / mean_) ;
}
#endif
/*
** Compute the arithmetic mean
*/
#if !(__cplusplus)
double stat_mean(Stat_T *ptr)
{
if (ptr->count)
return (ptr->total / ptr->count);
else return 0.0;
}
#else /* C++ */
double Stat::Mean()
{
if (count)
return (total / count);
else return 0.0;
}
#endif
/*
** Compute the geometric mean
*/
#if !(__cplusplus)
double stat_gmean(Stat_T *ptr)
{
if (ptr->count)
return pow(ptr->product, 1.0 / ptr->count);
else return 0.0;
}
#else /* C++ */
double Stat::Gmean()
{
if (count)
return pow(product, 1.0 / count);
else return 0.0;
}
#endif
/*
** Compute the harmonic mean
*/
#if !(__cplusplus)
double stat_hmean(Stat_T *ptr)
{
if (ptr->count)
return ptr->count / ptr->recip;
else return 0.0;
}
#else /* C++ */
double Stat::Hmean()
{
if (count)
return count / recip;
else return 0.0;
}
#endif
/*
** Compute the standard deviation of the population
*/
#if !(__cplusplus)
double stat_stddevP(Stat_T *ptr)
{
double tmp;
tmp = ptr->total / ptr->count;
tmp *= tmp;
return sqrt((ptr->total2 / ptr->count) - tmp);
}
#else /* C++ */
double Stat::StddevP()
{
double tmp;
tmp = total / count;
tmp *= tmp;
return sqrt((total2 / count) - tmp);
}
#endif
/*
** Compute the standard deviation of the sampled data
*/
#if !(__cplusplus)
double stat_stddevS(Stat_T *ptr)
{
double mean, total, total2, N, tmp;
if (ptr->count < 2)
return 0.0;
mean = ptr->total / ptr->count;
total = ptr->total - mean;
total2 = ptr->total2 - (mean * mean);
N = ptr->count - 1;
tmp = total / N;
tmp *= tmp;
return sqrt((total2 / N) - tmp);
}
#else /* C++ */
double Stat::StddevS()
{
double Mean, Total, Total2, N, tmp;
if (count < 2)
return 0.0;
Mean = total / count;
Total = total - Mean;
Total2 = total2 - (Mean * Mean);
N = count - 1;
tmp = Total / N;
tmp *= tmp;
return sqrt((Total2 / N) - tmp);
}
#endif
/*
** Compute the variance
*/
#if !(__cplusplus)
double stat_var(Stat_T *ptr)
{
return stat_stddevS(ptr) * stat_stddevS(ptr);
}
#else /* C++ */
inline double Stat::Var()
{
return StddevS() * StddevS();
}
#endif
/*
** Compute the coefficient of variation (percentage) for the population
*/
#if !(__cplusplus)
double stat_varcoeffP(Stat_T *ptr)
{
return (stat_stddevP(ptr) / stat_mean(ptr)) * 100.0;
}
#else /* C++ */
double Stat::VarcoeffP()
{
return (StddevP() / Mean()) * 100.0;
}
#endif
/*
** Compute the coefficient of variation (percentage) for the sample
*/
#if !(__cplusplus)
double stat_varcoeffS(Stat_T *ptr)
{
return (stat_stddevS(ptr) / stat_mean(ptr)) * 100.0;
}
#else /* C++ */
double Stat::VarcoeffS()
{
return (StddevS() / Mean()) * 100.0;
}
#endif
/*
** Test harness begins here. Define TEST macro to build stand-alone.
*/
#ifdef TEST
#include <stdlib.h>
#if !(__cplusplus)
#include <stdio.h>
int main(int argc, char *argv[])
{
Stat_T data;
stat_init(&data);
while (--argc)
{
double ftmp;
ftmp = atof(*(++argv));
stat_add(ftmp, &data);
}
puts("\nBefore \"Olympic\" filtering\n");
printf("Minimum datum = %g\n", stat_min(&data));
printf("Maximum datum = %g\n", stat_max(&data));
printf("Number of samples = %d\n", stat_count(&data));
printf("Arithmetic mean = %g\n", stat_mean(&data));
printf("Geometric mean = %g\n", stat_gmean(&data));
printf("Harmonic mean = %g\n", stat_hmean(&data));
printf("Standard deviation (N) = %g\n", stat_stddevP(&data));
printf("Standard deviation (N-1) = %g\n", stat_stddevS(&data));
printf("Variance = %g\n", stat_var(&data));
printf("Population coeff. of var. = %g%%\n", stat_varcoeffP(&data));
printf("Sample coeff. of var. = %g%%\n", stat_varcoeffS(&data));
puts("\nAfter \"Olympic\" filtering\n");
printf("stat_olympic() returned %s\n", stat_olympic(&data) ?
"ERROR" : "SUCCESS");
printf("Minimum datum = %g\n", stat_min(&data));
printf("Maximum datum = %g\n", stat_max(&data));
printf("Number of samples = %d\n", stat_count(&data));
printf("Arithmetic mean = %g\n", stat_mean(&data));
printf("Geometric mean = %g\n", stat_gmean(&data));
printf("Harmonic mean = %g\n", stat_hmean(&data));
printf("Standard deviation (N) = %g\n", stat_stddevP(&data));
printf("Standard deviation (N-1) = %g\n", stat_stddevS(&data));
printf("Variance = %g\n", stat_var(&data));
printf("Population coeff. of var. = %g%%\n", stat_varcoeffP(&data));
printf("Sample coeff. of var. = %g%%\n", stat_varcoeffS(&data));
return EXIT_SUCCESS;
}
#else /* C++ */
#include <iostreams.h>
int main(int argc, char *argv[])
{
class Stat data;
char *str;
while (--argc)
{
double ftmp;
ftmp = atof(*(++argv));
data.Add(ftmp);
}
cout << endl << "Before \"Olympic\" filtering\n" << endl << endl;
cout << "Minimum datum = " << data.Min() << endl;
cout << "Maximum datum = " << data.Max() << endl;
cout << "Number of samples = " << data.Count() << endl;
cout << "Arithmetic mean = " << data.Mean() << endl;
cout << "Geometric mean = " << data.Gmean() << endl;
cout << "Harmonic mean = " << data.Hmean() << endl;
cout << "Standard deviation (N) = " << data.StddevP() << endl;
cout << "Standard deviation (N-1) = " << data.StddevS() << endl;
cout << "Variance = " << data.Var() << endl;
cout << "Population coeff. of var. = " << data.VarcoeffP() << "%" << endl;
cout << "Sample coeff. of var. = " << data.VarcoeffS() << "%" << endl;
if (Success_ == data.Olympic())
str = "SUCCESS";
else str = "ERROR";
cout << endl << "After \"Olympic\" filtering" << endl << endl;
cout << "data.Olympic() returned " << str << endl;
cout << "Minimum datum = " << data.Min() << endl;
cout << "Maximum datum = " << data.Max() << endl;
cout << "Number of samples = " << data.Count() << endl;
cout << "Arithmetic mean = " << data.Mean() << endl;
cout << "Geometric mean = " << data.Gmean() << endl;
cout << "Harmonic mean = " << data.Hmean() << endl;
cout << "Standard deviation (N) = " << data.StddevP() << endl;
cout << "Standard deviation (N-1) = " << data.StddevS() << endl;
cout << "Variance = " << data.Var() << endl;
cout << "Population coeff. of var. = " << data.VarcoeffP() << "%" << endl;
cout << "Sample coeff. of var. = " << data.VarcoeffS() << "%" << endl;
return EXIT_SUCCESS;
}
#endif /* C/C++ */
#endif