Changeset 242 for trunk/SRC/Documentation/idldoc_assistant_output/ToBeReviewed/STATISTICS/c_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/c_timecorrelate.html (modified) (13 diffs)

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

@@ -79 +79 @@
       
       <dt><a href="#_c_timecorrelate"><i>result = </i>c_timecorrelate(<i>X, Y, 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>
@@ -118 +118 @@
     
 
-
     
 
@@ -135 +134 @@
     
 
-
     
 
@@ -152 +150 @@
     
 
-
     
 
@@ -169 +166 @@
     
 
-
     
 
@@ -186 +182 @@
     
 
-
     
     
@@ -225 +220 @@
     
 
-
     
     
 
     <h3>Examples</h3><pre>
-
 
     </pre><h3>Version history</h3>
@@ -238 +231 @@
 
     <h4>History</h4>
-
 
     
@@ -269 +261 @@
     
 
+
     
 
@@ -288 +281 @@
 
     
- An Array which last dimension is the time dimension of
+ An array which last dimension is the time dimension of
  size n, float or double.
 
@@ -306 +299 @@
 
     
- An Array which last dimension is the time dimension of
+ An array which last dimension is the time dimension of
  size n, float or double.
 
@@ -324 +317 @@
 
     
- A scalar or n-element vector, in the interval [-(n-2), (n-2)],
+ 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.
@@ -373 +366 @@
     <h3>Examples</h3><pre>
 
-       Define two n-element sample populations.
-         x = [3.73, 3.67, 3.77, 3.83, 4.67, 5.87, 6.70, 6.97, 6.40, 5.57]
-         y = [2.31, 2.76, 3.02, 3.13, 3.72, 3.88, 3.97, 4.39, 4.34, 3.95]
-
-       Compute the cross correlation of X and Y for LAG = -5, 0, 1, 5, 6, 7
-         lag = [-5, 0, 1, 5, 6, 7]
-         result = c_timecorrelate(x, y, lag)
-
-       The result should be:
-         [-0.428246, 0.914755, 0.674547, -0.405140, -0.403100, -0.339685]
+ Define two n-elements sample populations.
+ IDL> x = [3.73, 3.67, 3.77, 3.83, 4.67, 5.87, 6.70, 6.97, 6.40, 5.57]
+ IDL> y = [2.31, 2.76, 3.02, 3.13, 3.72, 3.88, 3.97, 4.39, 4.34, 3.95]
+
+ Compute the cross correlation of X and Y for LAG = -5, 0, 1, 5, 6, 7
+ IDL> lag = [-5, 0, 1, 5, 6, 7]
+ IDL> result = c_timecorrelate(x, y, lag)
+
+ The result should be:
+ [-0.428246, 0.914755, 0.674547, -0.405140, -0.403100, -0.339685]
 
     </pre><h3>Version history</h3>