Package edu.cmu.tetrad.data
package edu.cmu.tetrad.data
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ClassDescriptionBase class for variable specifications for DataSet.Implements the Anderson-Darling test for normality, with P values calculated as in R's ad.test method (in package nortest).Provides a static method for sampling with replacement from a dataset to create a new dataset with a sample size supplied by the user.Wraps a DataBox in such a way that mixed data sets can be stored.Stores a 2D array of byte data.Makes a new data set in which cases in the given data set that have been assigned multiplicies other than n = 1 are copied out n times.Represents a cell table that stores the values of the cells in a table of arbitrary dimension, for use, e.g., in the context of a contingency table--e.g.Stores a cell count table of arbitrary dimension.Stores a cell count table of arbitrary dimension.Stores clusters of variables for MimBuild, Purify, etc.Specifies how a column (continuous or discrete) should be discretized.Represents a real-valued variable.Stores a correlation matrix together with variable names and sample size; intended as a representation of a data set.Stores a covariance matrix together with variable names and sample size, intended as a representation of a data set.Stores a covariance matrix together with variable names and sample size, intended as a representation of a data set.Stores a covariance matrix together with variable names and sample size, intended as a representation of a data set.Some comemon methods for the various covariance implementations.Computes covariances using the standard calculation.Stores a 2D array of data.Interface implemented by classes whose purpose is to generate modifications of data sets.Sundry graph utils that need to be located in the data package to avoid package cycles.Interface implemented by classes, instantiations of which can serve as data models in Tetrad.Stores a list of data models and keeps track of which one is selected.A utility for resampling dataset.Implements a rectangular data set, in the sense of being a dataset with a fixed number of columns and a fixed number of rows, the length of each column being constant.DataTransforms class.The type of the data set--continuous if all continuous variables, discrete if all discrete variables; otherwise, mixed.Some static utility methods for dealing with data sets.Provides static methods for saving data to files.Type-safe enum of delimiter types for parsing data.Specifies how a column (continuous or discrete) should be discretized.Represents a discrete variable as a range of integer-valued categories 0, 1, ..., m - 1, where m is the number of categories for the variable.Type-safe enum of discrete variable types.A continuous or discrete discretization spec (see).Discretizes individual columns of discrete or continuous data.A discretization specification for a continuous variable.Stores a 2D array of double data.Stores a 2D array of float data.Implements the Anderson-Darling test against the given CDF, with P values calculated as in R's ad.test method (in package nortest).Model for a conditional histogram for mixed continuous and discrete variables.Interface for covariance matrices.Stores a list of independence facts.Stores a 2D array of integer data.Stores information about required and forbidden edges and common causes for use in algorithm.Implements a knowledge edge X-->Y as a simple ordered pair of strings.Represents a "Other Group" in Knowledge, which can be understood as: Group1 -> Group2 where there are edges between all members of Group1 to Group2.Interface implemented by classes that are capable of participating in the transfer of knowledge objects.Sundry methods for logging data.Stores a 2D array of long data.Returns a data set in which missing values in each column are filled using the mean of that column.Stores a 2D array of double continuousData.Implements the Anderson-Darling test against the given CDF, with P values calculated as in R's ad.test method (in package nortest).Wraps a 2D array of Number objects in such a way that mixed data sets can be stored.Provides a static method for sampling without replacement from a dataset to create a new dataset with a sample size supplied by the user.Tokenizes the given input character sequence using the type of delimiter specified bythe given CPDAG.Stores a 2D array of short data.SimpleDataLoader class.Created by jdramsey on 12/22/15.Specifies how a column (continuous or discrete) should be discretized.Stores time series data as a list of continuous columns.Interface implemented by classes, instantiations of which are capable of serving as variables for columns in a DataSet.Inteface implemented by classes, instantiations of which are associated with lists of variables.Stores a 2D array of double data.Stores a 2D array of int data.