| 1 | |
|---|
| 2 | <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" |
|---|
| 3 | "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> |
|---|
| 4 | |
|---|
| 5 | <!-- Generated by IDLdoc 2.0 --> |
|---|
| 6 | |
|---|
| 7 | <html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en"> |
|---|
| 8 | <head> |
|---|
| 9 | <title>a_correlate2d.pro (IDLdoc API documentation)</title> |
|---|
| 10 | |
|---|
| 11 | |
|---|
| 12 | <link rel="stylesheet" type="text/css" media="all" href="./../../main_files.css" /> |
|---|
| 13 | <link rel="stylesheet" type="text/css" media="print" href="./../../main_files_print.css" /> |
|---|
| 14 | |
|---|
| 15 | |
|---|
| 16 | <script type="text/javascript"> |
|---|
| 17 | function setTitle() { |
|---|
| 18 | parent.document.title="a_correlate2d.pro (IDLdoc API documentation)"; |
|---|
| 19 | } |
|---|
| 20 | </script> |
|---|
| 21 | </head> |
|---|
| 22 | |
|---|
| 23 | <body onload="setTitle();"> |
|---|
| 24 | |
|---|
| 25 | <div id="navbar_title"> |
|---|
| 26 | <h1>IDLdoc API documentation</h1> |
|---|
| 27 | </div> |
|---|
| 28 | |
|---|
| 29 | |
|---|
| 30 | <div id="main_navbar"> |
|---|
| 31 | |
|---|
| 32 | <table cellspacing="0"> |
|---|
| 33 | <tr> |
|---|
| 34 | |
|---|
| 35 | <td><a href="./../../overview.html?format=raw" title="Overview of library">Overview</a></td> |
|---|
| 36 | |
|---|
| 37 | |
|---|
| 38 | |
|---|
| 39 | <td >Directory</td> |
|---|
| 40 | |
|---|
| 41 | |
|---|
| 42 | |
|---|
| 43 | <td><a href="./../../idldoc-categories.html?format=raw" title="Browse library by category">Categories</a></td> |
|---|
| 44 | |
|---|
| 45 | |
|---|
| 46 | |
|---|
| 47 | <td><a href="./../../idldoc-index.html?format=raw" title="Index of files, routines, and parameters">Index</a></td> |
|---|
| 48 | |
|---|
| 49 | |
|---|
| 50 | |
|---|
| 51 | <td><a href="./../../search-page.html?format=raw" title="Search library">Search</a></td> |
|---|
| 52 | |
|---|
| 53 | |
|---|
| 54 | <td id="selected">File</td> |
|---|
| 55 | |
|---|
| 56 | |
|---|
| 57 | <td >Source</td> |
|---|
| 58 | |
|---|
| 59 | |
|---|
| 60 | |
|---|
| 61 | <td><a href="./../../idldoc-help.html?format=raw" title="Help on IDLdoc">Help</a></td> |
|---|
| 62 | |
|---|
| 63 | |
|---|
| 64 | <td >Etc</td> |
|---|
| 65 | |
|---|
| 66 | <td id="flexible">Developer documentation</td> |
|---|
| 67 | </tr> |
|---|
| 68 | </table> |
|---|
| 69 | |
|---|
| 70 | </div> |
|---|
| 71 | |
|---|
| 72 | <div id="secondary_navbar"> |
|---|
| 73 | |
|---|
| 74 | << prev file | <a href="a_timecorrelate.html">next file >></a> <a href="a_correlate2d.html" target="_TOP">view single page</a> | <a href="./../../index.html?format=raw" target="_TOP">view frames</a> summary: fields | <a href="#routine_summary">routine</a> details: <a href="#routine_details">routine</a> |
|---|
| 75 | |
|---|
| 76 | </div> |
|---|
| 77 | |
|---|
| 78 | |
|---|
| 79 | <div id="container"> |
|---|
| 80 | |
|---|
| 81 | <h1 class="directory"><a href="directory-overview.html?format=raw">ToBeReviewed/STATISTICS/</a></h1> |
|---|
| 82 | <h2 class="pro_file">a_correlate2d.pro</h2> |
|---|
| 83 | |
|---|
| 84 | <div id="file_attr"> |
|---|
| 85 | <dl> |
|---|
| 86 | </dl> |
|---|
| 87 | </div> |
|---|
| 88 | |
|---|
| 89 | <div id="file_comments"></div> |
|---|
| 90 | |
|---|
| 91 | |
|---|
| 92 | |
|---|
| 93 | |
|---|
| 94 | |
|---|
| 95 | |
|---|
| 96 | |
|---|
| 97 | |
|---|
| 98 | <div id="routine_summary"> |
|---|
| 99 | <h2>Routine summary</h2> |
|---|
| 100 | |
|---|
| 101 | <dl> |
|---|
| 102 | |
|---|
| 103 | <dt><p><a href="#_Auto_Cov2d"><span class="result">result = </span>Auto_Cov2d(<span class="result">X, Lag</span>, Double=<span class="result">Double</span>, zero2nan=<span class="result">zero2nan</span>)</a></p><dt> |
|---|
| 104 | <dd> NAME: A_CORRELATE2d PURPOSE: This function computes the autocorrelation Px(K,L) or autocovariance Rx(K,L) of a sample population X[nx,ny] as a function of the lag (K,L).</dd> |
|---|
| 105 | |
|---|
| 106 | <dt><p><a href="#_A_Correlate2d"><span class="result">result = </span>A_Correlate2d(<span class="result">X, Lag</span>, Covariance=<span class="result">Covariance</span>, Double=<span class="result">Double</span>)</a></p><dt> |
|---|
| 107 | <dd></dd> |
|---|
| 108 | |
|---|
| 109 | </dl> |
|---|
| 110 | </div> |
|---|
| 111 | |
|---|
| 112 | |
|---|
| 113 | <div id="routine_details"> |
|---|
| 114 | |
|---|
| 115 | |
|---|
| 116 | <div class="routine_details" id="_Auto_Cov2d"> |
|---|
| 117 | |
|---|
| 118 | <h2><a class="top" href="#container">top</a>Auto_Cov2d </h2> |
|---|
| 119 | |
|---|
| 120 | <p class="header"> |
|---|
| 121 | <span class="result">result = </span>Auto_Cov2d(<span class="result"><a href="#_Auto_Cov2d_param_X">X</a>, <a href="#_Auto_Cov2d_param_Lag">Lag</a></span>, <a href="#_Auto_Cov2d_keyword_Double">Double</a>=<span class="result">Double</span>, <a href="#_Auto_Cov2d_keyword_zero2nan">zero2nan</a>=<span class="result">zero2nan</span>)</p> |
|---|
| 122 | |
|---|
| 123 | <div class="comments"> |
|---|
| 124 | NAME: |
|---|
| 125 | A_CORRELATE2d |
|---|
| 126 | |
|---|
| 127 | PURPOSE: |
|---|
| 128 | |
|---|
| 129 | This function computes the autocorrelation Px(K,L) or |
|---|
| 130 | autocovariance Rx(K,L) of a sample population X[nx,ny] as a |
|---|
| 131 | function of the lag (K,L). |
|---|
| 132 | |
|---|
| 133 | CATEGORY: |
|---|
| 134 | Statistics. |
|---|
| 135 | |
|---|
| 136 | CALLING SEQUENCE: |
|---|
| 137 | Result = a_correlate2d(X, Lag) |
|---|
| 138 | |
|---|
| 139 | INPUTS: |
|---|
| 140 | X: an 2 dimension Array [nx,ny] |
|---|
| 141 | |
|---|
| 142 | LAG: 2-element vector, in the intervals [-(nx-2), (nx-2)],[-(ny-2), (ny-2)], |
|---|
| 143 | of type integer that specifies the absolute distance(s) between |
|---|
| 144 | indexed elements of X. |
|---|
| 145 | |
|---|
| 146 | KEYWORD PARAMETERS: |
|---|
| 147 | COVARIANCE: If set to a non-zero value, the sample autocovariance |
|---|
| 148 | is computed. |
|---|
| 149 | |
|---|
| 150 | DOUBLE: If set to a non-zero value, computations are done in |
|---|
| 151 | double precision arithmetic. |
|---|
| 152 | |
|---|
| 153 | EXAMPLE: |
|---|
| 154 | |
|---|
| 155 | PROCEDURE: |
|---|
| 156 | |
|---|
| 157 | |
|---|
| 158 | nx-k-1 ny-l-1 |
|---|
| 159 | sigma sigma (X[i,j]-Xmean)(X[i+k,j+l]-Ymean) |
|---|
| 160 | i=0 j=0 |
|---|
| 161 | correlation(X,[k,l])=------------------------------------------------------ |
|---|
| 162 | nx-1 ny-1 |
|---|
| 163 | sigma sigma (X[i,j]-Xmean)^2) |
|---|
| 164 | i=0 j=0 |
|---|
| 165 | |
|---|
| 166 | |
|---|
| 167 | nx-k-1 ny-l-1 |
|---|
| 168 | sigma sigma (X[i,j]-Xmean)(Y[i+k,j+l]-Ymean) |
|---|
| 169 | i=0 j=0 |
|---|
| 170 | covariance(X,[k,l])=------------------------------------------------------ |
|---|
| 171 | nx*ny |
|---|
| 172 | |
|---|
| 173 | Where Xmean is the mens of the sample population |
|---|
| 174 | x=(x[0,0],x[1,0],...,x[nx-1,ny-1]). |
|---|
| 175 | |
|---|
| 176 | |
|---|
| 177 | REFERENCE: |
|---|
| 178 | |
|---|
| 179 | MODIFICATION HISTORY:</div> |
|---|
| 180 | |
|---|
| 181 | |
|---|
| 182 | |
|---|
| 183 | |
|---|
| 184 | <h3>Parameters</h3> |
|---|
| 185 | |
|---|
| 186 | |
|---|
| 187 | <h4 id="_Auto_Cov2d_param_X">X |
|---|
| 188 | |
|---|
| 189 | |
|---|
| 190 | |
|---|
| 191 | |
|---|
| 192 | |
|---|
| 193 | |
|---|
| 194 | |
|---|
| 195 | |
|---|
| 196 | </h4> |
|---|
| 197 | |
|---|
| 198 | <div class="comments"></div> |
|---|
| 199 | |
|---|
| 200 | <h4 id="_Auto_Cov2d_param_Lag">Lag |
|---|
| 201 | |
|---|
| 202 | |
|---|
| 203 | |
|---|
| 204 | |
|---|
| 205 | |
|---|
| 206 | |
|---|
| 207 | |
|---|
| 208 | |
|---|
| 209 | </h4> |
|---|
| 210 | |
|---|
| 211 | <div class="comments"></div> |
|---|
| 212 | |
|---|
| 213 | |
|---|
| 214 | |
|---|
| 215 | |
|---|
| 216 | |
|---|
| 217 | |
|---|
| 218 | <h3>Keywords</h3> |
|---|
| 219 | |
|---|
| 220 | <h4 id="_Auto_Cov2d_keyword_Double">Double |
|---|
| 221 | |
|---|
| 222 | |
|---|
| 223 | |
|---|
| 224 | |
|---|
| 225 | |
|---|
| 226 | |
|---|
| 227 | |
|---|
| 228 | |
|---|
| 229 | </h4> |
|---|
| 230 | |
|---|
| 231 | <div class="comments"></div> |
|---|
| 232 | |
|---|
| 233 | <h4 id="_Auto_Cov2d_keyword_zero2nan">zero2nan |
|---|
| 234 | |
|---|
| 235 | |
|---|
| 236 | |
|---|
| 237 | |
|---|
| 238 | |
|---|
| 239 | |
|---|
| 240 | |
|---|
| 241 | |
|---|
| 242 | </h4> |
|---|
| 243 | |
|---|
| 244 | <div class="comments"></div> |
|---|
| 245 | |
|---|
| 246 | |
|---|
| 247 | |
|---|
| 248 | |
|---|
| 249 | |
|---|
| 250 | |
|---|
| 251 | |
|---|
| 252 | |
|---|
| 253 | |
|---|
| 254 | |
|---|
| 255 | |
|---|
| 256 | |
|---|
| 257 | |
|---|
| 258 | |
|---|
| 259 | |
|---|
| 260 | |
|---|
| 261 | |
|---|
| 262 | |
|---|
| 263 | |
|---|
| 264 | |
|---|
| 265 | |
|---|
| 266 | |
|---|
| 267 | |
|---|
| 268 | |
|---|
| 269 | |
|---|
| 270 | |
|---|
| 271 | </div> |
|---|
| 272 | |
|---|
| 273 | |
|---|
| 274 | <div class="routine_details" id="_A_Correlate2d"> |
|---|
| 275 | |
|---|
| 276 | <h2><a class="top" href="#container">top</a>A_Correlate2d </h2> |
|---|
| 277 | |
|---|
| 278 | <p class="header"> |
|---|
| 279 | <span class="result">result = </span>A_Correlate2d(<span class="result"><a href="#_A_Correlate2d_param_X">X</a>, <a href="#_A_Correlate2d_param_Lag">Lag</a></span>, <a href="#_A_Correlate2d_keyword_Covariance">Covariance</a>=<span class="result">Covariance</span>, <a href="#_A_Correlate2d_keyword_Double">Double</a>=<span class="result">Double</span>)</p> |
|---|
| 280 | |
|---|
| 281 | <div class="comments"></div> |
|---|
| 282 | |
|---|
| 283 | |
|---|
| 284 | |
|---|
| 285 | |
|---|
| 286 | <h3>Parameters</h3> |
|---|
| 287 | |
|---|
| 288 | |
|---|
| 289 | <h4 id="_A_Correlate2d_param_X">X |
|---|
| 290 | |
|---|
| 291 | |
|---|
| 292 | |
|---|
| 293 | |
|---|
| 294 | |
|---|
| 295 | |
|---|
| 296 | |
|---|
| 297 | |
|---|
| 298 | </h4> |
|---|
| 299 | |
|---|
| 300 | <div class="comments"></div> |
|---|
| 301 | |
|---|
| 302 | <h4 id="_A_Correlate2d_param_Lag">Lag |
|---|
| 303 | |
|---|
| 304 | |
|---|
| 305 | |
|---|
| 306 | |
|---|
| 307 | |
|---|
| 308 | |
|---|
| 309 | |
|---|
| 310 | |
|---|
| 311 | </h4> |
|---|
| 312 | |
|---|
| 313 | <div class="comments"></div> |
|---|
| 314 | |
|---|
| 315 | |
|---|
| 316 | |
|---|
| 317 | |
|---|
| 318 | |
|---|
| 319 | |
|---|
| 320 | <h3>Keywords</h3> |
|---|
| 321 | |
|---|
| 322 | <h4 id="_A_Correlate2d_keyword_Covariance">Covariance |
|---|
| 323 | |
|---|
| 324 | |
|---|
| 325 | |
|---|
| 326 | |
|---|
| 327 | |
|---|
| 328 | |
|---|
| 329 | |
|---|
| 330 | |
|---|
| 331 | </h4> |
|---|
| 332 | |
|---|
| 333 | <div class="comments"></div> |
|---|
| 334 | |
|---|
| 335 | <h4 id="_A_Correlate2d_keyword_Double">Double |
|---|
| 336 | |
|---|
| 337 | |
|---|
| 338 | |
|---|
| 339 | |
|---|
| 340 | |
|---|
| 341 | |
|---|
| 342 | |
|---|
| 343 | |
|---|
| 344 | </h4> |
|---|
| 345 | |
|---|
| 346 | <div class="comments"></div> |
|---|
| 347 | |
|---|
| 348 | |
|---|
| 349 | |
|---|
| 350 | |
|---|
| 351 | |
|---|
| 352 | |
|---|
| 353 | |
|---|
| 354 | |
|---|
| 355 | |
|---|
| 356 | |
|---|
| 357 | |
|---|
| 358 | |
|---|
| 359 | |
|---|
| 360 | |
|---|
| 361 | |
|---|
| 362 | |
|---|
| 363 | |
|---|
| 364 | |
|---|
| 365 | |
|---|
| 366 | |
|---|
| 367 | |
|---|
| 368 | |
|---|
| 369 | |
|---|
| 370 | |
|---|
| 371 | |
|---|
| 372 | |
|---|
| 373 | </div> |
|---|
| 374 | |
|---|
| 375 | </div> |
|---|
| 376 | |
|---|
| 377 | |
|---|
| 378 | |
|---|
| 379 | <div id="tagline">Produced by IDLdoc 2.0.</div> |
|---|
| 380 | |
|---|
| 381 | </div> |
|---|
| 382 | |
|---|
| 383 | </body> |
|---|
| 384 | </html> |
|---|
