A B C D E F G H I K L M N O P R S T U V W Z
| MultBiplotR-package | Multivariate Analysis using Biplots | 
| AddBinVars2Biplot | Add suplementary binary variables to a biplot | 
| AddCluster2Biplot | Add clusters to a biplot object | 
| AddContVars2Biplot | Adds supplementary continuous variables to a biplot object | 
| AddOrdVars2Biplot | Adds supplementary ordinal variables to an existing biplot objects. | 
| AddSupVars2Biplot | Adds supplementary variables to a biplot object | 
| anova.RidgeBinaryLogistic | Compares two binary logistic models | 
| Bartlett.Tests | Bartlett tests | 
| BasicDescription | Basic descriptive sataistics | 
| BinaryDistances | Binary Distances | 
| BinaryLogBiplotEM | Binary logistic biplot with the EM algorithm. | 
| BinaryLogBiplotGD | Binary Logistic Biplot with Gradient Descent Estimation | 
| BinaryLogBiplotGDRecursive | Binary Logistic Biplot with Recursive Gradient Descent Estimation | 
| BinaryLogBiplotJoint | Binary logistic biplot with a gradient descent algorithm. | 
| BinaryLogBiplotMirt | Binary logistic biplot with Item Response Theory. | 
| BinaryLogisticBiplot | Binary Logistic Biplot | 
| BinaryPLSFit | Binary PLS Regression. | 
| BinaryPLSR | Partial Least Squares Regression with Binary Data | 
| BinaryProximities | Proximity Measures for Binary Data | 
| Biplot.BinaryPLSR | Biplot for a PLSR model with binary data | 
| Biplot.PLSR | Partial Least Squares Biplot | 
| Biplot.PLSR1BIN | Biplot for a PLSR model with a binary response | 
| Biplot.PLSRBIN | Biplot for a PLSR model with binary responses | 
| BiplotFPCA | External Biplot for functional data from a functional PCA object. | 
| BootstrapDistance | Bootstrap on the distance matrices used for Principal Coordinates Analysis (PCoA) | 
| BootstrapScalar | Bootstrap on the scalar product matrices used for Principal Coordinates Analysis (PCoA) | 
| BootstrapSmacof | Bootstrap on the distance matrices used for MDS with Smacof | 
| BoxPlotPanel | Panel of box plots | 
| CA | Correspondence Analysis | 
| Canonical.Variate.Analysis | Biplot representation of a Canonical Variate Analysis or a Manova (Canonical-Biplot or MANOVA-Biplot) | 
| CanonicalBiplot | Biplot representation of a Canonical Variate Analysis or a Manova (Canonical-Biplot or MANOVA-Biplot) | 
| CanonicalDistanceAnalysis | MANOVA and Canonical Analysis of Distances | 
| CanonicalStatisBiplot | CANONICAL STATIS-ACT for multiple tables with common rows and its associated Biplot | 
| CategoricalDistances | Distances among individuals using nominal variables. | 
| CategoricalProximities | Proximities among individuals using nominal variables. | 
| CCA | Canonical Correspondence Analysis | 
| CheckBinaryMatrix | Checks if a data matrix is binary | 
| CheckBinaryVector | Checks if a vector is binary | 
| Chemical | Chemical data | 
| Circle | Draws a circle | 
| Coinertia | Coinertia Analysis. | 
| ColContributionPlot | Plots the contributios of a biplot | 
| ConcEllipse | Concentration ellipse for a se of two-dimensional points | 
| ConfidenceInterval | Confidence Interval for the mean | 
| ConstrainedLogisticBiplot | Constrained Binary Logistic Biplot | 
| ConstrainedOrdinalLogisticBiplot | Constrained Ordinal Logistic Biplot | 
| ContinuousDistances | Distances for Continuous Data | 
| ContinuousProximities | Proximities for Continuous Data | 
| Convert2ThreeWay | Three way array from a two way matrix | 
| Convert3wArray2List | Converts a three way array into a list | 
| ConvertFactors2Integers | Convert a factor to integer numbers | 
| ConvertList23wArray | Converts a list of matrices into a three way array | 
| CorrelationCircle | Circle of correlations | 
| CrissCross | Alternated Least Squares Biplot | 
| CumSum | Cummulative sums | 
| Dataframe2BinaryMatrix | Converts a Data Frame into a Binary Data Matrix | 
| DataFrame2Matrix4Regression | Prepares a matrix for regression from a data frame | 
| DensityBiplot | Adds Non-parametric densities to a biplot. Separated densities are calculated for different clusters | 
| Dhats | Calculation of Disparities | 
| diagonal | Diagonal matrix from a vector | 
| DimensionLabels | Labels for the selected dimensions in a biplot | 
| dlines | Connects two sets of points by lines | 
| Doctors | Data set extracted from the Careers of doctorate holders survey carried out by Spanish Statistical Office in 2008. | 
| ErrorBarPlotPanel | Plots a panel of error bars | 
| EuclideanDistance | Classical Euclidean Distance (Pythagorean Distance) | 
| ExpandTable | Expands a compressed table of patterns and frequencies | 
| ExternalBinaryLogisticBiplot | External Logistic Biplot for binary Data | 
| ExtractTable | Extracts unique patterns and its frequencies for a discrete data matrix (numeric) | 
| FA.Biplot | Biplot for Factor Analysis. | 
| Factor2Binary | Converts a Factor into its indicator matrix | 
| Fraction | Selection of a fraction of the data | 
| Games_Howell | Games-Howell post-hoc tests for Welch's one-way analysis | 
| GD.Biplot | Biplot for continuous data based on gradient descent methods | 
| GeneralizedProcrustes | Generalized Procrustes Analysis | 
| GetBiplotScales | Calculates the scales for the variables on a linear biplot | 
| GetCCAScales | Calculates scales for plotting the environmental variables in a Canonical Correspondence Analysis | 
| ginv | G inverse | 
| GowerProximities | Gower Dissimilarities for mixed types of data | 
| GowerSimilarities | Gower Dissimilarities for mixed types of data | 
| Hermquad | Gauss-Hermite quadrature | 
| HistogramPanel | Panel of histograms | 
| HJ.Biplot | HJ Biplot with added features. | 
| InBox | Checks if a point is inside a box. | 
| InitialTransform | Initial transformation of data | 
| Integer2Binary | Transforms an Integer Variable into a Binary Variable | 
| Kruskal.Wallis.Tests | Kruskal Wallis Tests | 
| Levene.Tests | Levene Tests | 
| LogFrequencyBiplot | Weighted Biplot for a table of frequencies | 
| logit | Logit function | 
| Matrix2Proximities | Matrix to Proximities | 
| matrixsqrt | Matrix squared root | 
| matrixsqrtinv | Inverse of the Matrix squared root | 
| MDS | Multidimensional Scaling | 
| MGC | Mixture Gaussian Clustering | 
| MonotoneRegression | Weighted Isotonic Regression (Weighted Monotone Regression) | 
| moth | Moth data | 
| MultBiplot | Multivariate Analysis using Biplots | 
| Multiquad | Multidimensional Gauss-Hermite quadrature | 
| MultiTableStatistics | Statistics for multiple tables | 
| MultiTableTransform | Initial Transformation of a multi table object | 
| NiceNumber | Nice numbers: simple decimal numbers | 
| NIPALS.Biplot | Biplot using the NIPALS algorithm | 
| NIPALSPCA | NIPALS algorithm for PCA | 
| NominalDistances | Distances among individuals with nominal variables | 
| NormalityTests | Normality tests | 
| Numeric2Binary | Converts a numeric variable into a binary one | 
| ones | Matrix of ones | 
| OrdinalLogisticFit | Fits an ordinal logistic regression with ridge penalization | 
| OrdLogBipEM | Alternated EM algorithm for Ordinal Logistic Biplots | 
| OrdVarBiplot | Plots an ordinal variable on the biplot | 
| OrdVarCoordinates | Coordinates of an ordinal variable on the biplot. | 
| OrthogonalizeScores | Orthogonalize a set of Scores calculated by other procedure | 
| PCA.Analysis | Classical PCA Biplot with added features. | 
| PCA.Biplot | Classical PCA Biplot with added features. | 
| PCA.Bootstrap | Principal Components Analysis with bootstrap confidence intervals. | 
| plot.Binary.Logistic.Biplot | Plots the results of a Binary Logistic Biplot | 
| plot.CA.sol | Plot the solution of a Coorespondence Analysis | 
| plot.Canonical.Biplot | Plots a Canonical Biplot | 
| plot.CanonicalDistanceAnalysis | Plots a Canonical Distance Analysis | 
| plot.CCA.sol | Plots the solution of a Canonical Correspondence Analysisis | 
| plot.ContinuousBiplot | Plots a biplot for continuous data. | 
| plot.CVA | Plot of a Canonical Variate Analysis | 
| plot.ellipse | Plot a concentration ellipse. | 
| plot.External.Binary.Logistic.Biplot | Plots an External Logistic Biplot for binary data | 
| plot.fraction | Plots a fraction of the data as a cluster | 
| plot.MGC | Plot the results of Model-Based Gaussian Clustering algorithms | 
| plot.Ordinal.Logistic.Biplot | Plots an ordinal Logistic Biplot | 
| plot.PCA.Analysis | Plots a Principal Component Analysis | 
| plot.PCA.Bootstrap | Plots the Bootstrap information for Principal Components Analysis (PCA) | 
| plot.PCoABootstrap | Plots an object of class PCoABootstrap | 
| plot.Principal.Coordinates | Plots an object of class Principal.Coordinates | 
| plot.Procrustes | Plots an object of class "Procrustes" | 
| plot.StatisBiplot | Plots a Statis Biplot Object | 
| plot.TetraDualStatis | Plots an object of class "tetraDualStatis". | 
| plot.Unfolding | Plots an Unfolding Representation | 
| PlotBiplotClusters | Plot clusters on a biplot. | 
| PlotOrdinalResponses | Plot the response functions along the directions of best fit. | 
| PLSR | Partial Least Squares Regression | 
| PLSR1Bin | Partial Least Squares Regression with Binary Response | 
| PLSRBin | Partial Least Squares Regression with several Binary Responses | 
| PLSRBinFit | PLS binary regression. | 
| PLSRfit | Partial Least Squares Regression (PLSR) | 
| PoliticalFigures | Political Figures in the USA | 
| PolyOrdinalLogBiplot | Factor Analysis Biplot based on polychoric correlations | 
| PrettyTicks | Calculates loose axis ticks and labels using nice numbers | 
| PrincipalCoordinates | Principal Coordinates Analysis | 
| print.MGC | Prints the results of Model-Based Gaussian Clustering algorithms | 
| print.RidgeBinaryLogistic | prints an object of class RidgeBinaryLogistic | 
| Protein | Protein consumption data. | 
| RAPD | Sugar Cane Data | 
| RemoveRowsWithNaNs | Remove rows that contains NaNs (missing data) | 
| riano | Ecological data from Riano (Spain) | 
| RidgeBinaryLogistic | Ridge Binary Logistic Regression for Binary data | 
| RidgeBinaryLogisticFit | Fits a binary logistic regression with ridge penalization | 
| RidgeMultinomialLogisticFit | Multinomial logistic regression with ridge penalization | 
| RidgeMultinomialLogisticRegression | Ridge Multinomial Logistic Regression | 
| RidgeOrdinalLogistic | Ordinal logistic regression with ridge penalization | 
| scores.CCA.sol | Extract the scores of a CCA solution object | 
| SeparateVarTypes | Separation of different types of variables into a list | 
| SimpleProcrustes | Simple Procrustes Analysis | 
| SMACOF | SMACOF | 
| smoking | Smoking habits | 
| Sparse.NIPALSPCA | Sparse version of the NIPALS algorithm for PCA. | 
| spiders | Hunting Spiders Data | 
| SpidersEnv | Hunting spiders environmental data. | 
| SpidersSp | Hunting Spiders Data | 
| SSI | Sustainability Society Index | 
| SSI3w | Sustainability Society Index (3w) | 
| SSIEcon3w | Sustainability Society Index | 
| SSIEnvir3w | Sustainability Society Index | 
| SSIHuman3w | Sustainability Society Index | 
| StatisBiplot | STATIS-ACT for multiple tables with common rows and its associated Biplot | 
| summary.Canonical.Biplot | Summary of the solution of a Canonical Biplot Analysis | 
| summary.CCA.sol | Summary of the solution of a CCA | 
| summary.ContinuousBiplot | Summary of the solution of a Biplot for Continuous Data | 
| summary.CVA | Summary of a Canonical Variate Analysis | 
| summary.MGC | Summary of Model-Based Gaussian Clustering results | 
| summary.PCA.Analysis | Summary of the results of a PCA. | 
| summary.PCA.Bootstrap | Summary of a PCA.Bootstrap object | 
| summary.PLSR | Summary of a PLSR object | 
| summary.PLSR1Bin | Summary of PLSR with a Binary Response | 
| summary.Principal.Coordinates | Summary of the results of a Principal Coordinates Analysis | 
| summary.RidgeBinaryLogistic | Summary of a Binary Logistic Regression with Ridge Penalization | 
| summary.TetraDualStatis | Summary of the results of TetraDualStatis | 
| t3pcovr | Tucker 3 Principal Covariates Regression | 
| TetraDualStatis | Dual STATIS-ACT for binary data based on Tetrachoric Correlations | 
| textsmart | Labels of a Scatter | 
| Three2TwoWay | Converts a multitable list to a two way matrix | 
| ThreeWay2FrontalSlices | Three to two way data | 
| TransformIni | Initial transformation of a data matrix | 
| Truncated.NIPALSPCA | Truncated version of the NIPALS algorithm for PCA. | 
| Unfolding | Multidimensional Unfolding | 
| VarBiplot | Draws a variable on a biplot | 
| wa | Extracts the weighted averages of a CCA solution | 
| wcor | Weighted correlations | 
| weighted.quantile | Weighted quantiles | 
| WeightedPCoA | Weighted Principal Coordinates Analysis | 
| wine | Wine data | 
| zeros | Matrix of zeros as in Matlab |