Exploratory Analysis

Top-Level Exploratory Analysis Functions

analysis - Graphical user interface for data analysis.

pca - Principal components analysis.

mcr - Multivariate curve resolution with constraints.

purity - Self-modeling mixture analysis method based on purity of variables or spectra.

corrspec - Resolves correlation spectroscopy maps.

crossval - Cross-validation for decomposition and linear regression.

evolvfa - Evolving factor analysis (forward and reverse).

ewfa - Evolving window factor analysis.

estimatefactors - Estimate number of significant factors in multivariate data.

wtfa - Window target factor analysis.

mlpca - Maximum likelihood principal components analysis.

coda_dw - Calculates values for the Durbin_Watson criterion of columns of data set.

coda_dw_interactive - Interactive version of CODA_DW.

comparelcms_sim_interactive - Interactive interface for COMPARELCMS.

trendtool - Univariate trend analysis tool.

cluster - KNN and K-means cluster analysis with dendrograms.

Multiway Analysis

analysis - Graphical user interface for data analysis.

mpca - Multi-way (unfold) principal components analysis.

gram - Generalized rank annihilation method.

parafac - Parallel factor analysis for n-way arrays.

parafac2 - Parallel factor analysis for unevenly sized n-way arrays.

tld - Trilinear decomposition.

tucker - Analysis for n-way arrays.

Multiway Utilities

outerm - Computes outer product of any number of vectors.

corcondia - Evaluates consistency of PARAFAC model.

coreanal - Analysis of the core array of a Tucker model.

corecalc - Calculate the Tucker3 core given the data array and loadings.

nassign - Generic subscript assignment indexing for n-way arrays.

nindex - Generic subscript indexing for n-way arrays.

unfoldm - Rearranges (unfolds) an augmented matrix to row vectors.

unfoldmw - Unfolds multiway arrays along specified order.

modelviewer - Visualization tool for multi-way models.

Application of Models to New Data

In most cases, the function used to create a model (e.g. PCA, PLS, etc) is also used to make a prediction with the created model. See the function used for more information on this. In addition, these utilities may be of use for certain applications.

modelselector - Create or apply a model selector model.

compressmodel - Remove references to unused variables from a model.

matchvars - Align variables of a dataset to allow prediction with a model.

pcapro - Projects new data on old principal components model.

Model Analysis and Calculation Utilities

manrotate - Graphical interface to manually rotate model loadings.

qconcalc - Calculate Q residuals contributions for predictions on a model.

residuallimit - Estimates confidence limits for sum squared residuals.

reviewmodel - Examines a standard model structure for typical problems.

tconcalc - Calculate Hotellings T2 contributions for predictions on a model.

tsqlim - Confidence limits for Hotelling's T^2.

varcap - Variance captured for each variable in PCA model.

varimax - Orthogonal rotation of loadings.

als - Alternating Least Squares computational engine.

datahat - Calculates the model estimate and residuals of the data.

dispmat - Calculates the dispersion matrix of two spectral data sets.

pcaengine - Principal Components Analysis computational engine.

tsqmtx - Calculates matrix for T^2 contributions for PCA.

comparelcms_simengine - Calculational Engine for comparelcms.

Plotting Utilities

modlrder - Displays model info for standard model structures.

plotloads - Extract and display loadings information from a model structure.

plotscores - Extract and display score information from a model.

ploteigen - Builds dataset object of eigenvalues/RMSECV information.

ssqtable - Displays variance captured table for model.

(Sub topic of Qualitative_Exploratory_Analysis_and_Classification)