Changeset 242 for trunk/SRC/Documentation/idldoc_assistant_output/ToBeReviewed/STATISTICS/a_timecorrelate.html
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- 04/06/07 10:35:17 (17 years ago)
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trunk/SRC/Documentation/idldoc_assistant_output/ToBeReviewed/STATISTICS/a_timecorrelate.html
r234 r242 62 62 63 63 64 65 64 66 65 … … 83 82 84 83 <dt><a href="#_a_timecorrelate"><i>result = </i>a_timecorrelate(<i>X, Lag</i>, COVARIANCE=<i>COVARIANCE</i>, DOUBLE=<i>DOUBLE</i>)</a><dt> 85 <dd><font size="-1"> </font></dd>84 <dd><font size="-1"> </font></dd> 86 85 87 86 </dl> … … 121 120 122 121 123 An Array which last dimension is the time dimension so122 An array which last dimension is the time dimension so 124 123 size n. 125 124 … … 140 139 141 140 142 143 141 144 142 … … 157 155 158 156 159 160 157 161 158 … … 196 193 197 194 198 199 195 200 196 201 197 202 198 <h3>Examples</h3><pre> 203 204 199 205 200 </pre><h3>Version history</h3> … … 209 204 210 205 <h4>History</h4> 211 212 206 213 207 … … 240 234 241 235 236 242 237 243 238 … … 259 254 260 255 261 An Array which last dimension is the time dimension so256 An array which last dimension is the time dimension so 262 257 size n. 263 258 … … 277 272 278 273 279 A scalar or n-element vector, in the interval [-(n-2),(n-2)],280 of type integer that specifies the absolute distance(s) between 274 A scalar or n-elements vector, in the interval [-(n-2),(n-2)], 275 of type integer that specifies the absolute distance(s) between 281 276 indexed elements of X. 282 277 … … 325 320 326 321 <h3>Examples</h3><pre> 327 Define an n-elementsample population.328 329 330 331 332 333 334 335 322 Define an n-elements sample population. 323 IDL> x = [3.73, 3.67, 3.77, 3.83, 4.67, 5.87, 6.70, 6.97, 6.40, 5.57] 324 325 Compute the autocorrelation of X for LAG = -3, 0, 1, 3, 4, 8 326 IDL> lag = [-3, 0, 1, 3, 4, 8] 327 IDL> result = a_correlate(x, lag) 328 329 The result should be: 330 [0.0146185, 1.00000, 0.810879, 0.0146185, -0.325279, -0.151684] 336 331 337 332 </pre><h3>Version history</h3>
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