Changeset 767 for trunk/yat/statistics


Ignore:
Timestamp:
Feb 22, 2007, 4:14:40 PM (15 years ago)
Author:
Peter
Message:

Fixes #65

Location:
trunk/yat/statistics
Files:
11 edited

Legend:

Unmodified
Added
Removed
  • trunk/yat/statistics/Averager.h

    r718 r767  
    3535
    3636  ///
    37   /// Class to calculate simple (first and second moments) averages.
     37  /// @brief Class to calculate simple (first and second moments) averages.
    3838  ///
    3939  /// @see AveragerWeighted AveragerPair AveragerPairWeighted
  • trunk/yat/statistics/AveragerPair.h

    r757 r767  
    3535
    3636  ///
    37   /// Class for taking care of mean and covariance of two variables.
     37  /// @brief Class for taking care of mean and covariance of two variables.
    3838  ///
    3939  /// @see Averager AveragerWeighted AveragerPairWeighted
  • trunk/yat/statistics/AveragerPairWeighted.h

    r718 r767  
    3737namespace statistics{
    3838  ///
    39   /// Class for taking care of mean and covariance of two variables in
     39  /// @brief Class for taking care of mean and covariance of two variables in
    4040  /// a weighted manner.
    4141  ///
  • trunk/yat/statistics/Distance.h

    r703 r767  
    3838
    3939  ///
    40   /// Interface class for calculating distances between arrays.
     40  /// @brief Interface class for calculating distances between arrays.
    4141  ///
    4242  class Distance
  • trunk/yat/statistics/FoldChange.h

    r683 r767  
    3535
    3636  ///
    37   /// @brief FoldChange
    38   ///
    39   /// This score is simply given by the difference by the group means.
     37  /// @brief Score given by the difference by the group means.
    4038  ///
    4139  class FoldChange : public Score
  • trunk/yat/statistics/Histogram.h

    r718 r767  
    3535
    3636  ///
    37   /// Histograms provide a convenient way of presenting the
    38   /// distribution of a set of data. A histogram consists of a set of
     37  /// @brief Histograms provide a convenient way of presenting the
     38  /// distribution of a set of data.
     39  ///
     40  /// A histogram consists of a set of
    3941  /// bins which count the number of events falling into these
    4042  /// bins. Currently only one dimensional histograms with uniformly
  • trunk/yat/statistics/Pearson.h

    r703 r767  
    3838
    3939  ///
    40   /// Class for calculating Pearson correlation.
     40  /// @brief Class for calculating Pearson correlation.
    4141  ///   
    4242 
  • trunk/yat/statistics/PearsonDistance.h

    r703 r767  
    4040namespace statistics{
    4141  ///
    42   /// Class for calculating distances using Pearson correlation.
     42  /// @brief Class for calculating distances using Pearson correlation.
    4343  /// d=1-C.
    4444  ///
  • trunk/yat/statistics/ROC.h

    r747 r767  
    4141
    4242  ///
    43   /// Class for ROC (Reciever Operating Characteristic).
     43  /// @brief Class for Reciever Operating Characteristic.
    4444  ///   
    4545  /// As the area under an ROC curve is equivalent to Mann-Whitney U
  • trunk/yat/statistics/Score.h

    r757 r767  
    3838
    3939  ///
    40   /// Abstract Base Class defining the interface for the score classes.
     40  /// @brief Interface Class for score classes.
    4141  ///
    4242  class Score
  • trunk/yat/statistics/tScore.h

    r703 r767  
    3737
    3838  ///
    39   /// Class for Fisher's t-test.
     39  /// @brief Class for Fisher's t-test.
    4040  ///   
    4141  /// See <a href="http://en.wikipedia.org/wiki/Student's_t-test">
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