Ignore:
Timestamp:
04/06/07 10:35:17 (17 years ago)
Author:
pinsard
Message:

improvements/corrections of some *.pro headers + replace some message by some report

File:
1 edited

Legend:

Unmodified
Added
Removed
  • trunk/SRC/Documentation/idldoc_html_output/ToBeReviewed/STATISTICS/a_timecorrelate.html

    r234 r242  
    8888 
    8989      <div id="file_comments"> 
    90   
    9190 
    9291 
     
    116115           
    117116          <dt><p><a href="#_a_timecorrelate"><span class="result">result = </span>a_timecorrelate(<span class="result">X, Lag</span>, COVARIANCE=<span class="result">COVARIANCE</span>, DOUBLE=<span class="result">DOUBLE</span>)</a></p><dt> 
    118           <dd></dd>      
     117          <dd> </dd>     
    119118                 
    120119        </dl> 
     
    155154         
    156155          <div class="comments"> 
    157  An Array which last dimension is the time dimension so 
     156 An array which last dimension is the time dimension so 
    158157 size n. 
    159158</div> 
     
    171170         
    172171          <div class="comments"> 
    173  
    174172</div> 
    175173             
     
    186184         
    187185          <div class="comments"> 
    188  
    189186</div> 
    190187             
     
    224221         
    225222            <div class="comments"> 
    226  
    227223</div> 
    228224             
     
    230226 
    231227          <h3>Examples</h3><div class="preformat"> 
    232  
    233228</div> 
    234229          <h3>Version history</h3> 
     
    238233</div> 
    239234          <h4>History</h4><div class="preformat"> 
    240  
    241235</div> 
    242236           
     
    276270            <span class="result">result = </span>a_timecorrelate(<span class="result"><a href="#_a_timecorrelate_param_X">X</a>, <a href="#_a_timecorrelate_param_Lag">Lag</a></span>, <a href="#_a_timecorrelate_keyword_COVARIANCE">COVARIANCE</a>=<span class="result">COVARIANCE</span>, <a href="#_a_timecorrelate_keyword_DOUBLE">DOUBLE</a>=<span class="result">DOUBLE</span>)</p> 
    277271         
    278           <div class="comments"></div> 
     272          <div class="comments"> 
     273</div> 
    279274 
    280275           
     
    296291         
    297292          <div class="comments"> 
    298  An Array which last dimension is the time dimension so 
     293 An array which last dimension is the time dimension so 
    299294 size n. 
    300295</div> 
     
    312307         
    313308          <div class="comments"> 
    314  A scalar or n-element vector, in the interval [-(n-2), (n-2)], 
    315  of type integer that specifies the absolute distance(s) between  
     309 A scalar or n-elements vector, in the interval [-(n-2),(n-2)], 
     310 of type integer that specifies the absolute distance(s) between 
    316311 indexed elements of X. 
    317312</div> 
     
    359354 
    360355          <h3>Examples</h3><div class="preformat"> 
    361        Define an n-element sample population. 
    362          x = [3.73, 3.67, 3.77, 3.83, 4.67, 5.87, 6.70, 6.97, 6.40, 5.57] 
    363  
    364        Compute the autocorrelation of X for LAG = -3, 0, 1, 3, 4, 8 
    365          lag = [-3, 0, 1, 3, 4, 8] 
    366          result = a_correlate(x, lag) 
    367  
    368        The result should be: 
    369          [0.0146185, 1.00000, 0.810879, 0.0146185, -0.325279, -0.151684] 
     356 Define an n-elements sample population. 
     357 IDL> x = [3.73, 3.67, 3.77, 3.83, 4.67, 5.87, 6.70, 6.97, 6.40, 5.57] 
     358 
     359 Compute the autocorrelation of X for LAG = -3, 0, 1, 3, 4, 8 
     360 IDL> lag = [-3, 0, 1, 3, 4, 8] 
     361 IDL> result = a_correlate(x, lag) 
     362 
     363 The result should be: 
     364 [0.0146185, 1.00000, 0.810879, 0.0146185, -0.325279, -0.151684] 
    370365</div> 
    371366          <h3>Version history</h3> 
Note: See TracChangeset for help on using the changeset viewer.