Man pages for DistributionalDDA
Distributional Data Analysis in Bayes Spaces
| Add | Adds functional objects |
| addFrequency | Pool absolute frequencies |
| age | Age Distribution Data for Upper Austrian Communes |
| as.BayesSpaceBasis | Finds a BayesSpaceBasis representation of the object |
| as.BDataDensities | Converts to a BDataDensities object |
| as.BDataDensityHistograms | Convert to a BDataDensityHistograms dataset |
| as.BDataDensityHistograms.list | Build a distributional dataset as density histograms from a... |
| as.BDataFrequencyHistograms | Converts to a BDataFrequencyHistograms |
| as.BDataFrequencyHistograms.list | Build a distributional dataset as histograms from a list |
| as.BDataHistograms | Represent data as a BDataHistogram (BDataDensityHistogram or... |
| as.BDataLogDensities | Converts to a BDataLogDensities object |
| as.BDataLogPDFs | Converts to representations as Log Probability Density... |
| as.BDataPDFs | Converts to representations as Probability Density functions |
| as.BDataSamples | Converts to representations as BDataSamples |
| as.BDataSplines | Convert distributional data to a spline representation |
| B2DistHyper | A distribution of distributions based a distribution family... |
| B2GaussianDistribution | A Gaussian Process distribution for probabilities |
| B2N01 | The standard B2(N(0,1)) Bayes space. |
| B2Unif01 | The standard B2(Unif(0,1)) Bayes space. |
| basisEval | Evaluates a BayesSpaceBasis |
| BayesSpace | Creates the Bayes space for a reference measure |
| BayesSpaceBasis | Create a basis for a Bayes space |
| BayesSpaceBasis.BayesSpaceCartesianProduct | Create a BayesSpaceBasis for a Cartesian Product of Bayes... |
| BayesSpaceBasisCartesianProduct | Computes the product basis of BayesSpaceBasis for the product... |
| BayesSpaceBasis.function | Creates a BayesSpaceBasis from a function |
| BayesSpaceBasis.ReferenceMeasureDiscrete | Coded Basis for ReferenceMeasureDiscrete |
| BayesSpaceBasis.ReferenceMeasureTransformed | Generates a BayesSpaceBasis for transformed Bayes Spaces |
| BayesSpaceBasis.ReferenceMeasureUniform | create the 'BayesSpaceBasis' object for... |
| BayesSpaceCartesianProduct | The Cartesian Product of Bayes Spaces |
| BData | Distributional data containers (BData) |
| BDataDensities | Constructor of BDataDensities objects representing a Dataset... |
| BDataDensityHistograms | Data container for distributions as histograms |
| BDataFrequencyHistograms | Data container for distributions as histograms |
| BDataGeneral | BayesSpace data in different formats |
| BDataLogDensities | Constructor of BDataLogDensities objects representing a... |
| BDataOperations | Operations for BData objects |
| BDataSamples | BData container with distributions as samples |
| BDataSplines | create a 'BDataSplines' object: a set of distributions... |
| biplot.princomp.BData | Biplot for PCA of Distributional Data |
| boxplot.BData | Functional Boxplot for BData objects |
| cartesianProduct | Compute the cartesian product |
| caseE | Expected values of functions of distributions |
| caseLogRatios | Log-density ratios for each distribution (case) |
| caseMeans | Expected values (means) of real-valued distributions |
| caseQuantiles | Quantiles of distributions in a data set of distributions |
| caseSds | Standard deviations of real-valued distributions |
| caseVars | Variances of real-valued distributions |
| cdf2density | numerically compute a density from a cdf |
| cdf2Support | Try to guess the support from cdf |
| cen | Centers the representation |
| centeringConstant | Finds the centering constant(s) |
| centralityQuantile | centralityQuantile |
| clo | Closes to a given total measure |
| clo.BDataHistograms | Closure methods for BData objects |
| closingConstant | Finds the closing constant(s) |
| clr | compute the clr transform |
| computeL22BayesSpacesBasisMatrix | Computes the matrix mapping an L2-space basis to a... |
| computeL22BayesSpacesBasisMatrix.basisfd | create the transform matrix A from a B-spline basis... |
| computeLimit | computes the limit of a function |
| CovarianceOperator | Computes a covariance with respect to a measure. The function... |
| DiscretizedFunction | Creates a function based on a regular discretization |
| distanceToCenter | Distance to Center |
| dist.BData | Distance method for BData objects |
| DistributionalDDA-package | DistributionalDDA: Distributional Density Data Analysis |
| Div | Division of functional objects |
| dot-DensityFromHist | Compute the density relativ to a measure from histogram... |
| dot-LogDensityFromHist | Compute the log density relativ to a measure from histogram... |
| DTD | An example dataset for distributional data analysis |
| ensureType | Returns the argument, but ensures that it has a certain... |
| Exp | Functional mapping a function to its exp version |
| expectation | Computes expectations from reference measures |
| expectation.ReferenceMeasureUniform | integrate a function over the uniform reference measure |
| findJumps | Finds jumps of a function of a certain minimum height |
| fx | Shortcut for creating functions of x |
| getBayesSpace | Generic function returning the Bayes space associated to the... |
| getBayesSpaceBasis | Generic function returning the BayesSpaceBasis associated to... |
| getBayesSpaceBasisDimension | the dimension of the basis |
| getBayesSpace.ReferenceMeasureCartesianProduct | Construct the product Bayes Space for a product reference... |
| getBreaks | Common utilities for BDataHistograms objects |
| getCartesianFactors | Decomposes a cartesian product into a list of its factors. |
| getDimension | Gets number of elements in a Basis |
| getDiscretizer | Computes Discretization points for nonequidistant... |
| getL2Space | Generic function returning the L2Space associated to the... |
| getMetricTensor | Metric tensor of a space or basis |
| getPDF | returns the probability density function |
| getReferenceMeasure | Getter for the ReferenceMeasure of an object |
| getSample | Get a sample from the reference measure |
| getSplineCoefs | Coefficients of a single BayesSpace element. |
| grapes-.-grapes | Operator to act on a list |
| hasSameBayesSpace | Checks whether two objects have the same BayesSpace |
| hasSameBayesSpaceBasis | Checks whether the associated BayesSpaceBasis of to objects... |
| idt.BData | Isometric default representations for BData objects |
| isClosed | Returns whether its know that the object is closed or... |
| isInDomain | Checks whether values are in the domain of the... |
| isInDomain.ReferenceMeasureUniform | assess whether a vector of points belong to the domain of the... |
| isValidBayesSpaceBasis | Checks that an object is a BayesSpaceBasis |
| isValidBayesSpaceElement | Checks whether an object is an element (or dataset of... |
| kdeDensity | Computes an evaluable kernel density estimate on a dataset |
| L2Space | Creates the L2-space for a Reference Measure |
| ListData | Makes a list includable in a data.frame |
| listDataElementAccess | Accesses list elements with an expression |
| makeFunctionOuter | Makes a vectorized 2-ary function into one that returns a... |
| makeLimitStable | Makes a real function returning limits at undefined points |
| mapToRealLineWithSupport | Gets coordinates on an axis for possibly non real data |
| maxFunc | Compute Maximum and Minimum Functions |
| mean.BDataSplines | Computes the distribution mean for BDataSplines. |
| median.BData | A distributional median |
| Mul | Multiplication of functional objects |
| mvar.BData | Compute the metric variance |
| nCases | Accessing cases regardless how a dataset is stored. |
| norm.BData | Computes the Bayes-Space norm of BData objects |
| numberOfCases | A generic function computing the number of cases. |
| pdf2Support | Guesses the support from a pdf |
| plot.BayesSpaceBasis | plot the 'BayesSpaceBasis' |
| plot.BDataHistograms | Plot histograms as segments |
| plot.BDataSamples | Plotting BDataSample Objects |
| plot.BDataSplines | Plot a set of spline functions (using visualisation tools... |
| plotCoefs | Plot multiple coefficients in a parallel coordinate plot |
| plotFuncs | Helper function to plot multiple functions |
| plot.princomp.BData | Plot Method for PCA of Distributional Data |
| plot.princomp.BData.grouped | Plot Method for Grouped PCA of Distributional Data |
| plot.princomp.BData.multivariate | Plot Method for Multivariate SFPCA of Distributional Data |
| plot.varKernel | Plotting varKernel objects |
| predict.princomp.BData | Predict Scores for New Distributional Data |
| princomp.BData | Principal Component Analysis for Distributional Data |
| print.BayesSpace | Pretty printing of BayesSpaces |
| print.BDataLogDensities | Print a BDataLogDensities object |
| print.BDataLogPDFs | Print a BDataLogPDFs object |
| print.BDataSplines | Print a BDataSplines object |
| print.L2Space | prints "L2Space with reference measure" and than the... |
| print.princomp.BData.grouped | Print a grouped distributional PCA |
| print.princomp.BData.multivariate | Print a multivariate (2D-)SFPCA on distributional data |
| print.ReferenceMeasure | Printing ReferenceMeasures |
| ReferenceMeasure | Reference measures: the geometry of a Bayes space |
| ReferenceMeasureCartesianProduct | Compute a cartesian Product of measures |
| ReferenceMeasureDiscrete | Discrete Reference Measure for BayesSpaces |
| ReferenceMeasureTransformed | A general continuous reference measure on the real line |
| ReferenceMeasureUniform | create the ReferenceMeasureUniform class |
| sample2Support | Guesses the support from a sample |
| scalarProduct | Computes the scalar product of (datasets of) vectors from... |
| scalarProductOfLogDensities | Computes the scalar product of log densities in a BayesSpace |
| scale.BData | Scale and/or center a BData set |
| screeplot.princomp.BData | Screeplot for PCA of Distributional Data |
| selectIntegrationMethod | Identifies the integration method to be choosen for a measure |
| simulate.B2DistHyper | Simulates a B2DistHyper distribution |
| simulate.BData | Simulate from the distribution described by the BData objects |
| simulate.ReferenceMeasureCartesianProduct | Simulates from a ReferenceMeasureCartesianProduct |
| simulate.ReferenceMeasureDiscrete | Generates simulations from the Discrete Reference Measure... |
| simulate.ReferenceMeasureTransformed | Generates simulations from the Reference Measure seen as... |
| simulate.ReferenceMeasureUniform | simulation method for the uniform referencemeasure |
| spatialDepth | Spatial Depth in dataset |
| Sub | Substract functional objects |
| subBasisIndices | Computes the indices of a certain marginal basis |
| sub-.BDataHistograms | Subsetting BDataHistograms |
| summary.princomp.BData | Summary of PCA for Distributional Data |
| Support | The support of the measures |
| SupportCartesianProduct | Creates a cartesian product of supports |
| supportDiscretization | Computes the discretization of a mixed support |
| toHistogram | Convert something to a histogram |
| variationKernel | Compute the variation kernel |
| varKernel | Compute the kernel of the Variance Kovariance operator |
| weightedStats | Computes mean and variance for weighted reference measures |
