Changeset 242 for trunk/SRC/Documentation/idldoc_assistant_output/ToBeReviewed/STATISTICS/a_timecorrelate.html

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:

• trunk/SRC/Documentation/idldoc_assistant_output/ToBeReviewed/STATISTICS/a_timecorrelate.html (modified) (11 diffs)

trunk/SRC/Documentation/idldoc_assistant_output/ToBeReviewed/STATISTICS/a_timecorrelate.html

@@ -62 +62 @@
 
     
- 
 
 
@@ -83 +82 @@
       
       <dt><a href="#_a_timecorrelate"><i>result = </i>a_timecorrelate(<i>X, Lag</i>, COVARIANCE=<i>COVARIANCE</i>, DOUBLE=<i>DOUBLE</i>)</a><dt>
-      <dd><font size="-1"></font></dd>
+      <dd><font size="-1"> </font></dd>
       
     </dl>
@@ -121 +120 @@
 
     
- An Array which last dimension is the time dimension so
+ An array which last dimension is the time dimension so
  size n.
 
@@ -140 +139 @@
     
 
-
     
 
@@ -157 +155 @@
     
 
-
     
     
@@ -196 +193 @@
     
 
-
     
     
 
     <h3>Examples</h3><pre>
-
 
     </pre><h3>Version history</h3>
@@ -209 +204 @@
 
     <h4>History</h4>
-
 
     
@@ -240 +234 @@
     
 
+
     
 
@@ -259 +254 @@
 
     
- An Array which last dimension is the time dimension so
+ An array which last dimension is the time dimension so
  size n.
 
@@ -277 +272 @@
 
     
- A scalar or n-element vector, in the interval [-(n-2), (n-2)],
- of type integer that specifies the absolute distance(s) between 
+ A scalar or n-elements vector, in the interval [-(n-2),(n-2)],
+ of type integer that specifies the absolute distance(s) between
  indexed elements of X.
 
@@ -325 +320 @@
 
     <h3>Examples</h3><pre>
-       Define an n-element sample population.
-         x = [3.73, 3.67, 3.77, 3.83, 4.67, 5.87, 6.70, 6.97, 6.40, 5.57]
-
-       Compute the autocorrelation of X for LAG = -3, 0, 1, 3, 4, 8
-         lag = [-3, 0, 1, 3, 4, 8]
-         result = a_correlate(x, lag)
-
-       The result should be:
-         [0.0146185, 1.00000, 0.810879, 0.0146185, -0.325279, -0.151684]
+ Define an n-elements sample population.
+ IDL> x = [3.73, 3.67, 3.77, 3.83, 4.67, 5.87, 6.70, 6.97, 6.40, 5.57]
+
+ Compute the autocorrelation of X for LAG = -3, 0, 1, 3, 4, 8
+ IDL> lag = [-3, 0, 1, 3, 4, 8]
+ IDL> result = a_correlate(x, lag)
+
+ The result should be:
+ [0.0146185, 1.00000, 0.810879, 0.0146185, -0.325279, -0.151684]
 
     </pre><h3>Version history</h3>