Uses of Class
edu.cmu.tetrad.util.Vector
Packages that use Vector
Package
Description
-
Uses of Vector in edu.cmu.tetrad.bayes
Methods in edu.cmu.tetrad.bayes with parameters of type Vector -
Uses of Vector in edu.cmu.tetrad.cluster.metrics
Methods in edu.cmu.tetrad.cluster.metrics with parameters of type VectorModifier and TypeMethodDescriptiondoubleDissimilarity.dissimilarity(Vector v1, Vector v2) dissimilarity.doubleSquaredErrorLoss.dissimilarity(Vector v1, Vector v2) Calculates the dissimilarity between two vectors using the Euclidean dissimilarity metric. -
Uses of Vector in edu.cmu.tetrad.data
Methods in edu.cmu.tetrad.data that return VectorModifier and TypeMethodDescriptionstatic Vectormean.static VectorDataUtils.means(double[][] data) Column major data.static Vectormeans.Methods in edu.cmu.tetrad.data with parameters of type Vector -
Uses of Vector in edu.cmu.tetrad.regression
Methods in edu.cmu.tetrad.regression that return VectorModifier and TypeMethodDescriptionRegressionResult.getResiduals()getResiduals.RegressionDataset.getResidualsWithoutFirstRegressor()getResidualsWithoutFirstRegressor.Constructors in edu.cmu.tetrad.regression with parameters of type VectorModifierConstructorDescriptionRegressionResult(boolean zeroInterceptAssumed, String[] regressorNames, int n, double[] b, double[] t, double[] p, double[] se, double r2, double rss, double alpha, Vector res) A result for a variety of regression algorithm. -
Uses of Vector in edu.cmu.tetrad.sem
Methods in edu.cmu.tetrad.sem that return VectorModifier and TypeMethodDescriptionGeneralizedSemIm.simulateOneRecord(Vector e) simulateOneRecord.SemIm.simulateOneRecord(Vector e) simulateOneRecord.Methods in edu.cmu.tetrad.sem with parameters of type VectorModifier and TypeMethodDescriptionGeneralizedSemIm.simulateOneRecord(Vector e) simulateOneRecord.SemIm.simulateOneRecord(Vector e) simulateOneRecord.updatedIm. -
Uses of Vector in edu.cmu.tetrad.util
Methods in edu.cmu.tetrad.util that return VectorModifier and TypeMethodDescriptionMatrix.col(int i) Retrieves the specified column from a data structure as a Vector object.Vector.copy()copy.Matrix.diag()diag.Matrix.getColumn(int j) getColumn.Vector.getPart(int from, int to) Extracts a subvector from the current vector from specified indices.Vector.getSelection(int[] selection) viewSelection.Point.getVector()Getter for the fieldvector.Vector.like()like.minus.plus.static Vectorproduct.Matrix.row(int i) getRow.Vector.scalarMult(double scalar) scalarMult.static VectorVector.serializableInstance()Generates a simple exemplar of this class to test serialization.static VectorStatUtils.standardizeData(Vector _data) Standardizes the provided vector data by removing the mean and scaling to unit variance.Matrix.sum(int direction) sum.times.MView.vector()Converts a matrix view to a vector representation if the view corresponds to either a single row or a single column.Methods in edu.cmu.tetrad.util with parameters of type VectorModifier and TypeMethodDescriptionvoidassign.voidMatrix.assignColumn(int col, Vector doubles) assignColumn.voidVector.assignPart(int[] range1, Vector from) Updates the specified elements of a data structure with values from the given vector.voidassignRow.static shortStatUtils.compressedCorrelation(Vector data1, Vector data2) compressedCorrelation.static doubleStatUtils.correlation(Vector data1, Vector data2) correlation.static MatrixGenerates a diagonal matrix using the elements of the given vector.doubledot.doubleVector.dotProduct(Vector v2) dotProduct.static doublemean.minus.plus.static Vectorproduct.voidSets the values of a specific column in the matrix view using the provided vector.voidSets the values of a specific row in the matrix view using the provided vector.static VectorStatUtils.standardizeData(Vector _data) Standardizes the provided vector data by removing the mean and scaling to unit variance.static doublesxy.times.Constructors in edu.cmu.tetrad.util with parameters of type Vector