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Cosinor Analysis 1.0

  Date Added: June 17, 2013  |  Visits: 249

Cosinor Analysis

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Cosinor analysis uses the least squares method to fit a sine wave to a time series. Cosinor analysis is often used in the analysis of biologic time series that demonstrate predictible rhythms. This method can be used with an unequally spaced time series. Follows cosinor analysis of a time series as outlined by Nelson et al. "Methods for Cosinor-Rhythmometry" Chronobiologica. 1979. Please consult reference.Input: t - time series y - value of series at time t w - cycle length, defined by user based on prior knowledge of time series alpha - type I error used for cofidence interval calculations. Usually set to be 0.05 which corresponds with 95% cofidence intervalsNote: Statistics toolbox is necessary only to caculate t and F distributions for the number of samples at the specified alpha. These values could be obtained from a table and manually inserted in the code, thus negating the use of the statistics toolbox.

Requirements: No special requirements
Platforms: Matlab
Keyword: Alpha Calculations Corresponds Intervals Knowledge Statistics Toolbox
Users rating: 0/10

License: Shareware Size: 20.48 KB
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