Changeset 234 for trunk/SRC/Documentation/idldoc_html_output/ToBeReviewed/STATISTICS/c_timecorrelate.html
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- 03/21/07 10:14:37 (17 years ago)
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trunk/SRC/Documentation/idldoc_html_output/ToBeReviewed/STATISTICS/c_timecorrelate.html
r200 r234 88 88 89 89 <div id="file_comments"> 90 91 90 92 91 93 92 This function computes the "time cross correlation" Pxy(L) or 94 93 the "time cross covariance" between 2 arrays (this is some 95 kind of c_correlate but for multidimens tionalsarrays) as a94 kind of c_correlate but for multidimensional arrays) as a 96 95 function of the lag (L). 97 96 </div> … … 110 109 111 110 <dt><p><a href="#_timecross_cov"><span class="result">result = </span>timecross_cov(<span class="result">Xd, Yd, M, nT, Ndim</span>, Double=<span class="result">Double</span>, ZERO2NAN=<span class="result">ZERO2NAN</span>)</a></p><dt> 112 <dd> </dd>111 <dd> </dd> 113 112 114 113 <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> … … 131 130 <span class="result">result = </span>timecross_cov(<span class="result"><a href="#_timecross_cov_param_Xd">Xd</a>, <a href="#_timecross_cov_param_Yd">Yd</a>, <a href="#_timecross_cov_param_M">M</a>, <a href="#_timecross_cov_param_nT">nT</a>, <a href="#_timecross_cov_param_Ndim">Ndim</a></span>, <a href="#_timecross_cov_keyword_Double">Double</a>=<span class="result">Double</span>, <a href="#_timecross_cov_keyword_ZERO2NAN">ZERO2NAN</a>=<span class="result">ZERO2NAN</span>)</p> 132 131 133 <div class="comments"></div> 132 <div class="comments"> 133 </div> 134 134 135 135 … … 260 260 261 261 <h4>Version</h4><div class="preformat"> 262 $Id: c_timecorrelate.pro 163 2006-08-29 12:59:46Z navarro$262 $Id: c_timecorrelate.pro 232 2007-03-20 16:59:36Z pinsard $ 263 263 </div> 264 264 <h4>History</h4><div class="preformat"> … … 377 377 378 378 <div class="comments"> 379 If set to a non-zero value, the sample cross 379 If set to a non-zero value, the sample cross 380 380 covariance is computed. 381 381 </div> … … 400 400 401 401 <h3>Examples</h3><div class="preformat"> 402 402 403 403 Define two n-element sample populations. 404 404 x = [3.73, 3.67, 3.77, 3.83, 4.67, 5.87, 6.70, 6.97, 6.40, 5.57] … … 415 415 416 416 <h4>Version</h4><div class="preformat"> 417 $Id: c_timecorrelate.pro 163 2006-08-29 12:59:46Z navarro$417 $Id: c_timecorrelate.pro 232 2007-03-20 16:59:36Z pinsard $ 418 418 </div> 419 419 <h4>History</h4><div class="preformat"> 420 420 - 01/03/2000 Sebastien Masson (smasson@lodyc.jussieu.fr) 421 421 Based on the C_CORRELATE procedure of IDL 422 - August 2003 Sebastien Masson 422 - August 2003 Sebastien Masson 423 423 update according to the update made in C_CORRELATE by 424 424 W. Biagiotti and available in IDL 5.5
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