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 |