[301] | 1 | // ----------------------------------------------------------------------- |
---|
| 2 | // getStats.cc: Basic functions to calculate statistical parameters |
---|
| 3 | // such as mean, median, rms, madfm, min, max. |
---|
| 4 | // ----------------------------------------------------------------------- |
---|
| 5 | // Copyright (C) 2006, Matthew Whiting, ATNF |
---|
| 6 | // |
---|
| 7 | // This program is free software; you can redistribute it and/or modify it |
---|
| 8 | // under the terms of the GNU General Public License as published by the |
---|
| 9 | // Free Software Foundation; either version 2 of the License, or (at your |
---|
| 10 | // option) any later version. |
---|
| 11 | // |
---|
| 12 | // Duchamp is distributed in the hope that it will be useful, but WITHOUT |
---|
| 13 | // ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
---|
| 14 | // FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
---|
| 15 | // for more details. |
---|
| 16 | // |
---|
| 17 | // You should have received a copy of the GNU General Public License |
---|
| 18 | // along with Duchamp; if not, write to the Free Software Foundation, |
---|
| 19 | // Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA |
---|
| 20 | // |
---|
| 21 | // Correspondence concerning Duchamp may be directed to: |
---|
| 22 | // Internet email: Matthew.Whiting [at] atnf.csiro.au |
---|
| 23 | // Postal address: Dr. Matthew Whiting |
---|
| 24 | // Australia Telescope National Facility, CSIRO |
---|
| 25 | // PO Box 76 |
---|
| 26 | // Epping NSW 1710 |
---|
| 27 | // AUSTRALIA |
---|
| 28 | // ----------------------------------------------------------------------- |
---|
[3] | 29 | #include <iostream> |
---|
[204] | 30 | #include <algorithm> |
---|
[3] | 31 | #include <math.h> |
---|
[393] | 32 | #include <duchamp/Utils/utils.hh> |
---|
[3] | 33 | |
---|
[848] | 34 | template <class T> float findMean(T *array, size_t size) |
---|
[70] | 35 | { |
---|
[528] | 36 | /// @details |
---|
| 37 | /// Find the mean of an array of numbers. Type independent. |
---|
| 38 | /// \param array The array of numbers. |
---|
| 39 | /// \param size The length of the array. |
---|
| 40 | /// \return The mean value of the array, returned as a float |
---|
[848] | 41 | double mean = 0; |
---|
| 42 | for(size_t i=0;i<size;i++) mean += double(array[i]); |
---|
| 43 | if(size>0) |
---|
| 44 | mean /= double(size); |
---|
[653] | 45 | return float(mean); |
---|
[53] | 46 | } |
---|
[848] | 47 | template float findMean<int>(int *array, size_t size); |
---|
| 48 | template float findMean<long>(long *array, size_t size); |
---|
| 49 | template float findMean<float>(float *array, size_t size); |
---|
| 50 | template float findMean<double>(double *array, size_t size); |
---|
[190] | 51 | //-------------------------------------------------------------------- |
---|
[53] | 52 | |
---|
[849] | 53 | template <class T> float findMeanDiff(T *first, T *second, size_t size) |
---|
| 54 | { |
---|
| 55 | /// @details |
---|
| 56 | /// Find the mean of an array of numbers. Type independent. |
---|
| 57 | /// \param array The array of numbers. |
---|
| 58 | /// \param size The length of the array. |
---|
| 59 | /// \return The mean value of the array, returned as a float |
---|
| 60 | double mean = 0; |
---|
| 61 | for(size_t i=0;i<size;i++) mean += double(first[i]-second[i]); |
---|
| 62 | if(size>0) |
---|
| 63 | mean /= double(size); |
---|
| 64 | return float(mean); |
---|
| 65 | } |
---|
| 66 | template float findMeanDiff<int>(int *first, int *second, size_t size); |
---|
| 67 | template float findMeanDiff<long>(long *first, long *second, size_t size); |
---|
| 68 | template float findMeanDiff<float>(float *first, float *second, size_t size); |
---|
| 69 | template float findMeanDiff<double>(double *first, double *second, size_t size); |
---|
| 70 | //-------------------------------------------------------------------- |
---|
| 71 | |
---|
[1393] | 72 | template <class T> float findMean(T *array, std::vector<bool> mask, size_t size) |
---|
[53] | 73 | { |
---|
[528] | 74 | /// @details |
---|
[848] | 75 | /// Find the mean of an array of numbers. Type independent. |
---|
[528] | 76 | /// \param array The array of numbers. |
---|
[848] | 77 | /// \param mask An array of the same length that says whether to |
---|
| 78 | /// include each member of the array in the calculations. Only use |
---|
| 79 | /// values where mask=true. |
---|
[528] | 80 | /// \param size The length of the array. |
---|
[848] | 81 | /// \return The mean value of the array, returned as a float |
---|
| 82 | double mean = 0.; |
---|
| 83 | int ct=0; |
---|
| 84 | for(size_t i=0;i<size;i++){ |
---|
| 85 | if(mask[i]){ |
---|
| 86 | mean += double(array[i]); |
---|
| 87 | ct++; |
---|
| 88 | } |
---|
[646] | 89 | } |
---|
[848] | 90 | if(ct>0) mean /= double(ct); |
---|
| 91 | return float(mean); |
---|
[53] | 92 | } |
---|
[1393] | 93 | template float findMean<int>(int *array, std::vector<bool> mask, size_t size); |
---|
| 94 | template float findMean<long>(long *array, std::vector<bool> mask, size_t size); |
---|
| 95 | template float findMean<float>(float *array, std::vector<bool> mask, size_t size); |
---|
| 96 | template float findMean<double>(double *array, std::vector<bool> mask, size_t size); |
---|
[190] | 97 | //-------------------------------------------------------------------- |
---|
[53] | 98 | |
---|
[1393] | 99 | template <class T> float findMeanDiff(T *first, T *second, std::vector<bool> mask, size_t size) |
---|
[849] | 100 | { |
---|
| 101 | /// @details |
---|
| 102 | /// Find the mean of an array of numbers. Type independent. |
---|
| 103 | /// \param array The array of numbers. |
---|
| 104 | /// \param mask An array of the same length that says whether to |
---|
| 105 | /// include each member of the array in the calculations. Only use |
---|
| 106 | /// values where mask=true. |
---|
| 107 | /// \param size The length of the array. |
---|
| 108 | /// \return The mean value of the array, returned as a float |
---|
| 109 | double mean = 0.; |
---|
| 110 | int ct=0; |
---|
| 111 | for(size_t i=0;i<size;i++){ |
---|
| 112 | if(mask[i]){ |
---|
| 113 | mean += double(first[i]-second[i]); |
---|
| 114 | ct++; |
---|
| 115 | } |
---|
| 116 | } |
---|
| 117 | if(ct>0) mean /= double(ct); |
---|
| 118 | return float(mean); |
---|
| 119 | } |
---|
[1393] | 120 | template float findMeanDiff<int>(int *first, int *second, std::vector<bool> mask, size_t size); |
---|
| 121 | template float findMeanDiff<long>(long *first, long *second, std::vector<bool> mask, size_t size); |
---|
| 122 | template float findMeanDiff<float>(float *first, float *second, std::vector<bool> mask, size_t size); |
---|
| 123 | template float findMeanDiff<double>(double *first, double *second, std::vector<bool> mask, size_t size); |
---|
[849] | 124 | //-------------------------------------------------------------------- |
---|
| 125 | |
---|
[848] | 126 | template <class T> float findStddev(T *array, size_t size) |
---|
[53] | 127 | { |
---|
[848] | 128 | /// @details Find the rms or standard deviation of an array of |
---|
| 129 | /// numbers. Type independent. Calculated by iterating only once, |
---|
| 130 | /// using \sum x and \sum x^2 (no call to findMean) |
---|
[528] | 131 | /// \param array The array of numbers. |
---|
| 132 | /// \param size The length of the array. |
---|
[848] | 133 | /// \return The rms value of the array, returned as a float |
---|
[646] | 134 | |
---|
[891] | 135 | double sumx=0.,sumxx=0.; |
---|
| 136 | double stddev=0.; |
---|
| 137 | double dsize=double(size); |
---|
[848] | 138 | for(size_t i=0;i<size;i++){ |
---|
| 139 | sumx += array[i]; |
---|
| 140 | sumxx += (array[i]*array[i]); |
---|
[756] | 141 | } |
---|
[891] | 142 | // std::cerr << sumx << " " << sumxx << " " << size << " " << size*size <<"\n"; |
---|
| 143 | // std::cerr << double(sumx) << " " << double(sumxx) << " " << double(size) << " " << double(size*size)<< "\n"; |
---|
| 144 | double mean=sumx/dsize; |
---|
[848] | 145 | if(size>0) |
---|
[891] | 146 | stddev = sqrt(sumxx/dsize - mean*mean); |
---|
| 147 | // std::cerr << stddev << " " << float(stddev) << "\n"; |
---|
[848] | 148 | return float(stddev); |
---|
[756] | 149 | } |
---|
[848] | 150 | template float findStddev<int>(int *array, size_t size); |
---|
| 151 | template float findStddev<long>(long *array, size_t size); |
---|
| 152 | template float findStddev<float>(float *array, size_t size); |
---|
| 153 | template float findStddev<double>(double *array, size_t size); |
---|
[756] | 154 | //-------------------------------------------------------------------- |
---|
| 155 | |
---|
[849] | 156 | template <class T> float findStddevDiff(T *first, T *second, size_t size) |
---|
| 157 | { |
---|
| 158 | /// @details Find the rms or standard deviation of an array of |
---|
| 159 | /// numbers. Type independent. Calculated by iterating only once, |
---|
| 160 | /// using \sum x and \sum x^2 (no call to findMean) |
---|
| 161 | /// \param array The array of numbers. |
---|
| 162 | /// \param size The length of the array. |
---|
| 163 | /// \return The rms value of the array, returned as a float |
---|
| 164 | |
---|
[891] | 165 | double sumx=0.,sumxx=0.; |
---|
| 166 | double stddev=0.; |
---|
| 167 | double dsize=double(size); |
---|
[849] | 168 | for(size_t i=0;i<size;i++){ |
---|
| 169 | sumx += (first[i]-second[i]); |
---|
| 170 | sumxx += ((first[i]-second[i])*(first[i]-second[i])); |
---|
| 171 | } |
---|
[891] | 172 | double mean=sumx/dsize; |
---|
[849] | 173 | if(size>0) |
---|
[891] | 174 | stddev = sqrt(sumxx/dsize - mean*mean); |
---|
[849] | 175 | return float(stddev); |
---|
| 176 | } |
---|
| 177 | template float findStddevDiff<int>(int *first, int *second, size_t size); |
---|
| 178 | template float findStddevDiff<long>(long *first, long *second, size_t size); |
---|
| 179 | template float findStddevDiff<float>(float *first, float *second, size_t size); |
---|
| 180 | template float findStddevDiff<double>(double *first, double *second, size_t size); |
---|
| 181 | //-------------------------------------------------------------------- |
---|
| 182 | |
---|
[1393] | 183 | template <class T> float findStddev(T *array, std::vector<bool> mask, size_t size) |
---|
[3] | 184 | { |
---|
[848] | 185 | /// @details Find the rms or standard deviation of an array of |
---|
| 186 | /// numbers. Type independent. Calculated by iterating only once, |
---|
| 187 | /// using \sum x and \sum x^2 (no call to findMean) |
---|
[528] | 188 | /// \param array The array of numbers. |
---|
| 189 | /// \param mask An array of the same length that says whether to |
---|
| 190 | /// include each member of the array in the calculations. Only use |
---|
| 191 | /// values where mask=true. |
---|
[848] | 192 | /// \param size The length of the array. |
---|
| 193 | /// \return The rms value of the array, returned as a float |
---|
[528] | 194 | |
---|
[891] | 195 | double sumx=0.,sumxx=0.; |
---|
| 196 | double stddev=0.; |
---|
[848] | 197 | int ct=0; |
---|
| 198 | for(size_t i=0;i<size;i++){ |
---|
| 199 | if(mask[i]){ |
---|
| 200 | sumx += array[i]; |
---|
| 201 | sumxx += (array[i]*array[i]); |
---|
| 202 | ct++; |
---|
| 203 | } |
---|
[190] | 204 | } |
---|
[891] | 205 | double dct=double(ct); |
---|
| 206 | double mean=sumx/dct; |
---|
[848] | 207 | if(ct>0) |
---|
[891] | 208 | stddev = sqrt(sumxx/dct - mean*mean); |
---|
[848] | 209 | return float(stddev); |
---|
[3] | 210 | } |
---|
[1393] | 211 | template float findStddev<int>(int *array, std::vector<bool> mask, size_t size); |
---|
| 212 | template float findStddev<long>(long *array, std::vector<bool> mask, size_t size); |
---|
| 213 | template float findStddev<float>(float *array, std::vector<bool> mask, size_t size); |
---|
| 214 | template float findStddev<double>(double *array, std::vector<bool> mask, size_t size); |
---|
[190] | 215 | //-------------------------------------------------------------------- |
---|
[3] | 216 | |
---|
[1393] | 217 | template <class T> float findStddevDiff(T *first, T *second, std::vector<bool> mask, size_t size) |
---|
[849] | 218 | { |
---|
| 219 | /// @details Find the rms or standard deviation of an array of |
---|
| 220 | /// numbers. Type independent. Calculated by iterating only once, |
---|
| 221 | /// using \sum x and \sum x^2 (no call to findMean) |
---|
| 222 | /// \param array The array of numbers. |
---|
| 223 | /// \param mask An array of the same length that says whether to |
---|
| 224 | /// include each member of the array in the calculations. Only use |
---|
| 225 | /// values where mask=true. |
---|
| 226 | /// \param size The length of the array. |
---|
| 227 | /// \return The rms value of the array, returned as a float |
---|
| 228 | |
---|
[891] | 229 | double sumx=0,sumxx=0; |
---|
[849] | 230 | double stddev=0; |
---|
| 231 | int ct=0; |
---|
| 232 | for(size_t i=0;i<size;i++){ |
---|
| 233 | if(mask[i]){ |
---|
| 234 | sumx += (first[i]-second[i]); |
---|
| 235 | sumxx += ((first[i]-second[i])*(first[i]-second[i])); |
---|
| 236 | ct++; |
---|
| 237 | } |
---|
| 238 | } |
---|
[891] | 239 | double dct=double(ct); |
---|
| 240 | double mean=sumx/dct; |
---|
[849] | 241 | if(ct>0) |
---|
[891] | 242 | stddev = sqrt(sumxx/dct - mean*mean); |
---|
[849] | 243 | return float(stddev); |
---|
| 244 | } |
---|
[1393] | 245 | template float findStddevDiff<int>(int *first, int *second, std::vector<bool> mask, size_t size); |
---|
| 246 | template float findStddevDiff<long>(long *first, long *second, std::vector<bool> mask, size_t size); |
---|
| 247 | template float findStddevDiff<float>(float *first, float *second, std::vector<bool> mask, size_t size); |
---|
| 248 | template float findStddevDiff<double>(double *first, double *second, std::vector<bool> mask, size_t size); |
---|
[849] | 249 | //-------------------------------------------------------------------- |
---|
| 250 | |
---|
[848] | 251 | template <class T> void findNormalStats(T *array, size_t size, |
---|
[190] | 252 | float &mean, float &stddev) |
---|
[3] | 253 | { |
---|
[528] | 254 | /// @details |
---|
| 255 | /// Find the mean and rms or standard deviation of an array of |
---|
| 256 | /// numbers. Type independent. |
---|
| 257 | /// |
---|
| 258 | /// \param array The array of numbers. |
---|
| 259 | /// \param size The length of the array. |
---|
| 260 | /// \param mean The mean value of the array, returned as a float. |
---|
| 261 | /// \param stddev The rms or standard deviation of the array, |
---|
| 262 | /// returned as a float. |
---|
| 263 | |
---|
[190] | 264 | if(size==0){ |
---|
| 265 | std::cerr << "Error in findNormalStats: zero sized array!\n"; |
---|
| 266 | return; |
---|
| 267 | } |
---|
[3] | 268 | mean = array[0]; |
---|
[848] | 269 | for(size_t i=1;i<size;i++){ |
---|
[3] | 270 | mean += array[i]; |
---|
| 271 | } |
---|
| 272 | mean /= float(size); |
---|
| 273 | |
---|
[79] | 274 | stddev = (array[0]-mean) * (array[0]-mean); |
---|
[848] | 275 | for(size_t i=1;i<size;i++) stddev += (array[i]-mean)*(array[i]-mean); |
---|
[79] | 276 | stddev = sqrt(stddev/float(size-1)); |
---|
[3] | 277 | |
---|
| 278 | } |
---|
[848] | 279 | template void findNormalStats<int>(int *array, size_t size, |
---|
[222] | 280 | float &mean, float &stddev); |
---|
[848] | 281 | template void findNormalStats<long>(long *array, size_t size, |
---|
[222] | 282 | float &mean, float &stddev); |
---|
[848] | 283 | template void findNormalStats<float>(float *array, size_t size, |
---|
[222] | 284 | float &mean, float &stddev); |
---|
[848] | 285 | template void findNormalStats<double>(double *array, size_t size, |
---|
[222] | 286 | float &mean, float &stddev); |
---|
[190] | 287 | //-------------------------------------------------------------------- |
---|
[3] | 288 | |
---|
[1393] | 289 | template <class T> void findNormalStats(T *array, size_t size, std::vector<bool> mask, |
---|
[190] | 290 | float &mean, float &stddev) |
---|
[70] | 291 | { |
---|
[528] | 292 | /// @details |
---|
| 293 | /// Find the mean and rms or standard deviation of a subset of an |
---|
| 294 | /// array of numbers. The subset is defined by an array of bool |
---|
| 295 | /// variables. Type independent. |
---|
| 296 | /// |
---|
| 297 | /// \param array The array of numbers. |
---|
| 298 | /// \param size The length of the array. |
---|
| 299 | /// \param mask An array of the same length that says whether to |
---|
| 300 | /// include each member of the array in the calculations. Only look |
---|
| 301 | /// at values where mask=true. |
---|
| 302 | /// \param mean The mean value of the array, returned as a float. |
---|
| 303 | /// \param stddev The rms or standard deviation of the array, |
---|
| 304 | /// returned as a float. |
---|
| 305 | |
---|
[190] | 306 | int goodSize=0; |
---|
[848] | 307 | for(size_t i=0;i<size;i++) if(mask[i]) goodSize++; |
---|
[190] | 308 | if(goodSize==0){ |
---|
| 309 | std::cerr << "Error in findNormalStats: no good values!\n"; |
---|
| 310 | return; |
---|
| 311 | } |
---|
| 312 | int start=0; |
---|
[275] | 313 | while(!mask[start]){start++;} |
---|
[190] | 314 | mean = array[start]; |
---|
[848] | 315 | for(size_t i=start+1;i<size;i++){ |
---|
[275] | 316 | if(mask[i]) mean += array[i]; |
---|
[190] | 317 | } |
---|
| 318 | mean /= float(goodSize); |
---|
[70] | 319 | |
---|
[190] | 320 | stddev = (array[start]-mean) * (array[start]-mean); |
---|
[848] | 321 | for(size_t i=1;i<size;i++){ |
---|
[275] | 322 | if(mask[i]) stddev += (array[i]-mean)*(array[i]-mean); |
---|
[190] | 323 | } |
---|
| 324 | stddev = sqrt(stddev/float(goodSize-1)); |
---|
| 325 | |
---|
| 326 | } |
---|
[1393] | 327 | template void findNormalStats<int>(int *array, size_t size, std::vector<bool> mask, |
---|
[222] | 328 | float &mean, float &stddev); |
---|
[1393] | 329 | template void findNormalStats<long>(long *array, size_t size, std::vector<bool> mask, |
---|
[222] | 330 | float &mean, float &stddev); |
---|
[1393] | 331 | template void findNormalStats<float>(float *array, size_t size, std::vector<bool> mask, |
---|
[222] | 332 | float &mean, float &stddev); |
---|
[1393] | 333 | template void findNormalStats<double>(double *array, size_t size, std::vector<bool> mask, |
---|
[222] | 334 | float &mean, float &stddev); |
---|
[848] | 335 | //-------------------------------------------------------------------- |
---|
[275] | 336 | |
---|
[848] | 337 | template <class T> void findNormalStatsDiff(T *first, T *second, size_t size, |
---|
| 338 | float &mean, float &stddev) |
---|
[275] | 339 | { |
---|
[528] | 340 | /// @details |
---|
[848] | 341 | /// Find the mean and rms or standard deviation of the difference between two arrays of |
---|
| 342 | /// numbers. The difference is defined as first - second. Type independent. |
---|
[528] | 343 | /// |
---|
[848] | 344 | /// \param first The first array |
---|
| 345 | /// \param second The second array |
---|
[528] | 346 | /// \param size The length of the array. |
---|
| 347 | /// \param mean The mean value of the array, returned as a float. |
---|
| 348 | /// \param stddev The rms or standard deviation of the array, |
---|
| 349 | /// returned as a float. |
---|
| 350 | |
---|
[275] | 351 | if(size==0){ |
---|
[848] | 352 | std::cerr << "Error in findNormalStats: zero sized array!\n"; |
---|
[275] | 353 | return; |
---|
| 354 | } |
---|
[848] | 355 | mean = first[0]-second[0]; |
---|
| 356 | for(size_t i=1;i<size;i++){ |
---|
| 357 | mean += (first[i]-second[i]); |
---|
| 358 | } |
---|
| 359 | mean /= float(size); |
---|
[275] | 360 | |
---|
[848] | 361 | stddev = (first[0]-second[0]-mean) * (first[0]-second[0]-mean); |
---|
| 362 | for(size_t i=1;i<size;i++) stddev += (first[i]-second[i]-mean)*(first[i]-second[i]-mean); |
---|
| 363 | stddev = sqrt(stddev/float(size-1)); |
---|
[275] | 364 | |
---|
| 365 | } |
---|
[848] | 366 | template void findNormalStatsDiff<int>(int *first, int *second, size_t size, |
---|
| 367 | float &mean, float &stddev); |
---|
| 368 | template void findNormalStatsDiff<long>(long *first, long *second, size_t size, |
---|
| 369 | float &mean, float &stddev); |
---|
| 370 | template void findNormalStatsDiff<float>(float *first, float *second, size_t size, |
---|
| 371 | float &mean, float &stddev); |
---|
| 372 | template void findNormalStatsDiff<double>(double *first, double *second, size_t size, |
---|
| 373 | float &mean, float &stddev); |
---|
[275] | 374 | //-------------------------------------------------------------------- |
---|
| 375 | |
---|
[1393] | 376 | template <class T> void findNormalStatsDiff(T *first, T *second, size_t size, std::vector<bool> mask, |
---|
[848] | 377 | float &mean, float &stddev) |
---|
[275] | 378 | { |
---|
[848] | 379 | /// @details Find the mean and rms or standard deviation of the |
---|
| 380 | /// difference between two arrays of numbers, where some elements |
---|
| 381 | /// are masked out. The mask is defined by an array of bool |
---|
| 382 | /// variables, and the difference is defined as first - second. Type |
---|
| 383 | /// independent. |
---|
[528] | 384 | /// |
---|
[848] | 385 | /// \param first The first array |
---|
| 386 | /// \param second The second array |
---|
[528] | 387 | /// \param size The length of the array. |
---|
| 388 | /// \param mask An array of the same length that says whether to |
---|
| 389 | /// include each member of the array in the calculations. Only look |
---|
| 390 | /// at values where mask=true. |
---|
| 391 | /// \param mean The mean value of the array, returned as a float. |
---|
| 392 | /// \param stddev The rms or standard deviation of the array, |
---|
| 393 | /// returned as a float. |
---|
| 394 | |
---|
[275] | 395 | int goodSize=0; |
---|
[848] | 396 | for(size_t i=0;i<size;i++) if(mask[i]) goodSize++; |
---|
[275] | 397 | if(goodSize==0){ |
---|
[848] | 398 | std::cerr << "Error in findNormalStats: no good values!\n"; |
---|
[275] | 399 | return; |
---|
| 400 | } |
---|
[848] | 401 | int start=0; |
---|
| 402 | while(!mask[start]){start++;} |
---|
| 403 | mean = first[start]-second[start]; |
---|
| 404 | for(size_t i=start+1;i<size;i++){ |
---|
| 405 | if(mask[i]) mean += (first[i]-second[i]); |
---|
| 406 | } |
---|
| 407 | mean /= float(goodSize); |
---|
[275] | 408 | |
---|
[848] | 409 | stddev = (first[start]-second[start]-mean) * (first[start]-second[start]-mean); |
---|
| 410 | for(size_t i=1;i<size;i++){ |
---|
| 411 | if(mask[i]) stddev += (first[i]-second[i]-mean)*(first[i]-second[i]-mean); |
---|
| 412 | } |
---|
| 413 | stddev = sqrt(stddev/float(goodSize-1)); |
---|
[275] | 414 | |
---|
| 415 | } |
---|
[1393] | 416 | template void findNormalStatsDiff<int>(int *first, int *second, size_t size, std::vector<bool> mask, |
---|
[848] | 417 | float &mean, float &stddev); |
---|
[1393] | 418 | template void findNormalStatsDiff<long>(long *first, long *second, size_t size, std::vector<bool> mask, |
---|
[848] | 419 | float &mean, float &stddev); |
---|
[1393] | 420 | template void findNormalStatsDiff<float>(float *first, float *second, size_t size, std::vector<bool> mask, |
---|
[848] | 421 | float &mean, float &stddev); |
---|
[1393] | 422 | template void findNormalStatsDiff<double>(double *first, double *second, size_t size, std::vector<bool> mask, |
---|
[848] | 423 | float &mean, float &stddev); |
---|
[275] | 424 | //-------------------------------------------------------------------- |
---|