Changeset 767 for trunk/yat/statistics
 Timestamp:
 Feb 22, 2007, 4:14:40 PM (16 years ago)
 Location:
 trunk/yat/statistics
 Files:

 11 edited
Legend:
 Unmodified
 Added
 Removed

trunk/yat/statistics/Averager.h
r718 r767 35 35 36 36 /// 37 /// Class to calculate simple (first and second moments) averages.37 /// @brief Class to calculate simple (first and second moments) averages. 38 38 /// 39 39 /// @see AveragerWeighted AveragerPair AveragerPairWeighted 
trunk/yat/statistics/AveragerPair.h
r757 r767 35 35 36 36 /// 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. 38 38 /// 39 39 /// @see Averager AveragerWeighted AveragerPairWeighted 
trunk/yat/statistics/AveragerPairWeighted.h
r718 r767 37 37 namespace statistics{ 38 38 /// 39 /// Class for taking care of mean and covariance of two variables in39 /// @brief Class for taking care of mean and covariance of two variables in 40 40 /// a weighted manner. 41 41 /// 
trunk/yat/statistics/Distance.h
r703 r767 38 38 39 39 /// 40 /// Interface class for calculating distances between arrays.40 /// @brief Interface class for calculating distances between arrays. 41 41 /// 42 42 class Distance 
trunk/yat/statistics/FoldChange.h
r683 r767 35 35 36 36 /// 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. 40 38 /// 41 39 class FoldChange : public Score 
trunk/yat/statistics/Histogram.h
r718 r767 35 35 36 36 /// 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 39 41 /// bins which count the number of events falling into these 40 42 /// bins. Currently only one dimensional histograms with uniformly 
trunk/yat/statistics/Pearson.h
r703 r767 38 38 39 39 /// 40 /// Class for calculating Pearson correlation.40 /// @brief Class for calculating Pearson correlation. 41 41 /// 42 42 
trunk/yat/statistics/PearsonDistance.h
r703 r767 40 40 namespace statistics{ 41 41 /// 42 /// Class for calculating distances using Pearson correlation.42 /// @brief Class for calculating distances using Pearson correlation. 43 43 /// d=1C. 44 44 /// 
trunk/yat/statistics/ROC.h
r747 r767 41 41 42 42 /// 43 /// Class for ROC (Reciever Operating Characteristic).43 /// @brief Class for Reciever Operating Characteristic. 44 44 /// 45 45 /// As the area under an ROC curve is equivalent to MannWhitney U 
trunk/yat/statistics/Score.h
r757 r767 38 38 39 39 /// 40 /// Abstract Base Class defining the interface for thescore classes.40 /// @brief Interface Class for score classes. 41 41 /// 42 42 class Score 
trunk/yat/statistics/tScore.h
r703 r767 37 37 38 38 /// 39 /// Class for Fisher's ttest.39 /// @brief Class for Fisher's ttest. 40 40 /// 41 41 /// See <a href="http://en.wikipedia.org/wiki/Student's_ttest">
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