Changeset 242 for trunk/SRC/Documentation/idldoc_html_output/ToBeReviewed/STATISTICS/c_timecorrelate.html
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- 04/06/07 10:35:17 (17 years ago)
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trunk/SRC/Documentation/idldoc_html_output/ToBeReviewed/STATISTICS/c_timecorrelate.html
r234 r242 112 112 113 113 <dt><p><a href="#_c_timecorrelate"><span class="result">result = </span>c_timecorrelate(<span class="result">X, Y, Lag</span>, Covariance=<span class="result">Covariance</span>, Double=<span class="result">Double</span>)</a></p><dt> 114 <dd> </dd>114 <dd> </dd> 115 115 116 116 </dl> … … 151 151 152 152 <div class="comments"> 153 154 153 </div> 155 154 … … 166 165 167 166 <div class="comments"> 168 169 167 </div> 170 168 … … 181 179 182 180 <div class="comments"> 183 184 181 </div> 185 182 … … 196 193 197 194 <div class="comments"> 198 199 195 </div> 200 196 … … 211 207 212 208 <div class="comments"> 213 214 209 </div> 215 210 … … 249 244 250 245 <div class="comments"> 251 252 246 </div> 253 247 … … 255 249 256 250 <h3>Examples</h3><div class="preformat"> 257 258 251 </div> 259 252 <h3>Version history</h3> … … 263 256 </div> 264 257 <h4>History</h4><div class="preformat"> 265 266 258 </div> 267 259 … … 301 293 <span class="result">result = </span>c_timecorrelate(<span class="result"><a href="#_c_timecorrelate_param_X">X</a>, <a href="#_c_timecorrelate_param_Y">Y</a>, <a href="#_c_timecorrelate_param_Lag">Lag</a></span>, <a href="#_c_timecorrelate_keyword_Covariance">Covariance</a>=<span class="result">Covariance</span>, <a href="#_c_timecorrelate_keyword_Double">Double</a>=<span class="result">Double</span>)</p> 302 294 303 <div class="comments"></div> 295 <div class="comments"> 296 </div> 304 297 305 298 … … 321 314 322 315 <div class="comments"> 323 An Array which last dimension is the time dimension of316 An array which last dimension is the time dimension of 324 317 size n, float or double. 325 318 </div> … … 337 330 338 331 <div class="comments"> 339 An Array which last dimension is the time dimension of332 An array which last dimension is the time dimension of 340 333 size n, float or double. 341 334 </div> … … 353 346 354 347 <div class="comments"> 355 A scalar or n-element vector, in the interval [-(n-2),(n-2)],348 A scalar or n-elements vector, in the interval [-(n-2),(n-2)], 356 349 of type integer that specifies the absolute distance(s) between 357 350 indexed elements of X. … … 401 394 <h3>Examples</h3><div class="preformat"> 402 395 403 Define two n-elementsample populations.404 405 406 407 408 409 410 411 412 396 Define two n-elements sample populations. 397 IDL> x = [3.73, 3.67, 3.77, 3.83, 4.67, 5.87, 6.70, 6.97, 6.40, 5.57] 398 IDL> y = [2.31, 2.76, 3.02, 3.13, 3.72, 3.88, 3.97, 4.39, 4.34, 3.95] 399 400 Compute the cross correlation of X and Y for LAG = -5, 0, 1, 5, 6, 7 401 IDL> lag = [-5, 0, 1, 5, 6, 7] 402 IDL> result = c_timecorrelate(x, y, lag) 403 404 The result should be: 405 [-0.428246, 0.914755, 0.674547, -0.405140, -0.403100, -0.339685] 413 406 </div> 414 407 <h3>Version history</h3>
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