Multivariate Analysis Using Biplots in R

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... |

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... |

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 |

BiplotFPCA | External Biplot for functional data from a functional PCA... |

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 |

BootstrapDistance | Bootstrap on the distance matrices used for Principal... |

BootstrapScalar | Bootstrap on the scalar product matrices used for Principal... |

BootstrapSmacof | Bootstrap on the distance matrices used for MDS with Smacof |

BoxPlotPanel | Panel of box plots |

CA | Correspondence Analysis |

CanonicalBiplot | Biplot representation of a Canonical Variate Analysis or a... |

CanonicalDistanceAnalysis | MANOVA and Canonical Analysis of Distances |

CanonicalStatisBiplot | CANONICAL STATIS-ACT for multiple tables with common rows and... |

Canonical.Variate.Analysis | Biplot representation of a Canonical Variate Analysis or a... |

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... |

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... |

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... |

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... |

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 |

MultBiplotR-package | 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... |

PCoABootstrap | Plots an object of class PCoABootstrap |

plot.Binary.Logistic.Biplot | Plots the results of a Binary Logistic Biplot |

PlotBiplotClusters | Plot clusters on a biplot. |

plot.Canonical.Biplot | Plots a Canonical Biplot |

plot.CanonicalDistanceAnalysis | Plots a Canonical Distance Analysis |

plot.CA.sol | Plot the solution of a Coorespondence 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... |

plot.Ordinal.Logistic.Biplot | Plots an ordinal Logistic Biplot |

PlotOrdinalResponses | Plot the response functions along the directions of best fit. |

plot.PCA.Analysis | Plots a Principal Component Analysis |

plot.PCA.Bootstrap | Plots the Bootstrap information for Principal Components... |

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 |

PLSR | Partial Least Squares Regression |

PLSR1Bin | Partial Least Squares Regression with Binary Response |

PLSRBin | Partial Least Squares Regression with several Binary... |

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... |

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... |

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... |

summary.TetraDualStatis | Summary of the results of TetraDualStatis |

t3pcovr | Tucker 3 Principal Covariates Regression |

TetraDualStatis | Dual STATIS-ACT for binary data based on Tetrachoric... |

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 |

WeightedPCoA | Weighted Principal Coordinates Analysis |

weighted.quantile | Weighted quantiles |

wine | Wine data |

zeros | Matrix of zeros as in Matlab |

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