Multivariate Analysis Using Biplots in R
Biplot representation of a Canonical Variate Analysis or a Manova (Can...
Biplot representation of a Canonical Variate Analysis or a Manova (Can...
Ridge Binary Logistic Regression for Binary data
Fits a binary logistic regression with ridge penalization
Multinomial logistic regression with ridge penalization
Ridge Multinomial Logistic Regression
Ordinal logistic regression with ridge penalization
Extract the scores of a CCA solution object
Separation of different types of variables into a list
Simple Procrustes Analysis
Add suplementary binary variables to a biplot
Add clusters to a biplot object
Adds supplementary continuous variables to a biplot object
Adds supplementary ordinal variables to an existing biplot objects.
Adds supplementary variables to a biplot object
Compares two binary logistic models
Bartlett tests
Basic descriptive sataistics
Binary Distances
Binary logistic biplot with the EM algorithm.
Binary Logistic Biplot with Gradient Descent Estimation
Binary Logistic Biplot with Recursive Gradient Descent Estimation
Binary logistic biplot with a gradient descent algorithm.
Binary logistic biplot with Item Response Theory.
Binary Logistic Biplot
Binary PLS Regression.
Partial Least Squares Regression with Binary Data
Proximity Measures for Binary Data
Biplot for a PLSR model with binary data
Partial Least Squares Biplot
Biplot for a PLSR model with a binary response
Biplot for a PLSR model with binary responses
External Biplot for functional data from a functional PCA object.
Bootstrap on the distance matrices used for Principal Coordinates Anal...
Bootstrap on the scalar product matrices used for Principal Coordinate...
Bootstrap on the distance matrices used for MDS with Smacof
Panel of box plots
Correspondence Analysis
MANOVA and Canonical Analysis of Distances
CANONICAL STATIS-ACT for multiple tables with common rows and its asso...
Distances among individuals using nominal variables.
Proximities among individuals using nominal variables.
Canonical Correspondence Analysis
Checks if a data matrix is binary
Checks if a vector is binary
Draws a circle
Coinertia Analysis.
Plots the contributios of a biplot
Concentration ellipse for a se of two-dimensional points
Confidence Interval for the mean
Constrained Binary Logistic Biplot
Constrained Ordinal Logistic Biplot
Distances for Continuous Data
Proximities for Continuous Data
Three way array from a two way matrix
Converts a three way array into a list
Convert a factor to integer numbers
Converts a list of matrices into a three way array
Circle of correlations
Alternated Least Squares Biplot
Cummulative sums
Converts a Data Frame into a Binary Data Matrix
Prepares a matrix for regression from a data frame
Adds Non-parametric densities to a biplot. Separated densities are cal...
Calculation of Disparities
Diagonal matrix from a vector
Labels for the selected dimensions in a biplot
Connects two sets of points by lines
Plots a panel of error bars
Classical Euclidean Distance (Pythagorean Distance)
Expands a compressed table of patterns and frequencies
External Logistic Biplot for binary Data
Extracts unique patterns and its frequencies for a discrete data matri...
Biplot for Factor Analysis.
Converts a Factor into its indicator matrix
Selection of a fraction of the data
Games-Howell post-hoc tests for Welch's one-way analysis
Biplot for continuous data based on gradient descent methods
Generalized Procrustes Analysis
Calculates the scales for the variables on a linear biplot
Calculates scales for plotting the environmental variables in a Canoni...
G inverse
Gower Dissimilarities for mixed types of data
Gower Dissimilarities for mixed types of data
Gauss-Hermite quadrature
Panel of histograms
HJ Biplot with added features.
Checks if a point is inside a box.
Initial transformation of data
Transforms an Integer Variable into a Binary Variable
Kruskal Wallis Tests
Levene Tests
Weighted Biplot for a table of frequencies
Logit function
Matrix to Proximities
Matrix squared root
Inverse of the Matrix squared root
Multidimensional Scaling
Mixture Gaussian Clustering
Weighted Isotonic Regression (Weighted Monotone Regression)
Multivariate Analysis using Biplots
Multidimensional Gauss-Hermite quadrature
Statistics for multiple tables
Initial Transformation of a multi table object
Nice numbers: simple decimal numbers
Biplot using the NIPALS algorithm
NIPALS algorithm for PCA
Distances among individuals with nominal variables
Normality tests
Converts a numeric variable into a binary one
Matrix of ones
Fits an ordinal logistic regression with ridge penalization
Alternated EM algorithm for Ordinal Logistic Biplots
Plots an ordinal variable on the biplot
Coordinates of an ordinal variable on the biplot.
Orthogonalize a set of Scores calculated by other procedure
Classical PCA Biplot with added features.
Classical PCA Biplot with added features.
Principal Components Analysis with bootstrap confidence intervals.
Plots an object of class PCoABootstrap
Plots the results of a Binary Logistic Biplot
Plot the solution of a Coorespondence Analysis
Plots a Canonical Biplot
Plots a Canonical Distance Analysis
Plots the solution of a Canonical Correspondence Analysisis
Plots a biplot for continuous data.
Plot of a Canonical Variate Analysis
Plot a concentration ellipse.
Plots an External Logistic Biplot for binary data
Plots a fraction of the data as a cluster
Plot the results of Model-Based Gaussian Clustering algorithms
Plots an ordinal Logistic Biplot
Plots a Principal Component Analysis
Plots the Bootstrap information for Principal Components Analysis (PCA...
Plots an object of class Principal.Coordinates
Plots an object of class "Procrustes"
Plots a Statis Biplot Object
Plots an object of class "tetraDualStatis".
Plots an Unfolding Representation
Plot clusters on a biplot.
Plot the response functions along the directions of best fit.
Partial Least Squares Regression
Partial Least Squares Regression with Binary Response
Partial Least Squares Regression with several Binary Responses
PLS binary regression.
Partial Least Squares Regression (PLSR)
Factor Analysis Biplot based on polychoric correlations
Calculates loose axis ticks and labels using nice numbers
Principal Coordinates Analysis
Prints the results of Model-Based Gaussian Clustering algorithms
prints an object of class RidgeBinaryLogistic
Remove rows that contains NaNs (missing data)
SMACOF
Sparse version of the NIPALS algorithm for PCA.
STATIS-ACT for multiple tables with common rows and its associated Bip...
Summary of the solution of a Canonical Biplot Analysis
Summary of the solution of a CCA
Summary of the solution of a Biplot for Continuous Data
Summary of a Canonical Variate Analysis
Summary of Model-Based Gaussian Clustering results
Summary of the results of a PCA.
Summary of a PCA.Bootstrap object
Summary of a PLSR object
Summary of PLSR with a Binary Response
Summary of the results of a Principal Coordinates Analysis
Summary of a Binary Logistic Regression with Ridge Penalization
Summary of the results of TetraDualStatis
Tucker 3 Principal Covariates Regression
Dual STATIS-ACT for binary data based on Tetrachoric Correlations
Labels of a Scatter
Converts a multitable list to a two way matrix
Three to two way data
Initial transformation of a data matrix
Truncated version of the NIPALS algorithm for PCA.
Multidimensional Unfolding
Draws a variable on a biplot
Extracts the weighted averages of a CCA solution
Weighted correlations
Weighted quantiles
Weighted Principal Coordinates Analysis
Matrix of zeros as in Matlab
Several multivariate techniques from a biplot perspective. It is the translation (with many improvements) into R of the previous package developed in 'Matlab'. The package contains some of the main developments of my team during the last 30 years together with some more standard techniques. Package includes: Classical Biplots, HJ-Biplot, Canonical Biplots, MANOVA Biplots, Correspondence Analysis, Canonical Correspondence Analysis, Canonical STATIS-ACT, Logistic Biplots for binary and ordinal data, Multidimensional Unfolding, External Biplots for Principal Coordinates Analysis or Multidimensional Scaling, among many others. References can be found in the help of each procedure.