Exploratory Analysis: Difference between revisions

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===Exploratory Analysis===
:[[analysis]] - Graphical user interface for data analysis.
:[[analysis]] - Graphical user interface for data analysis.
:[[pca]] - Principal components analysis.
:[[pca]] - Principal components analysis.
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:[[ploteigen]] - Builds dataset object of eigenvalues/RMSECV information.
:[[ploteigen]] - Builds dataset object of eigenvalues/RMSECV information.
:[[ssqtable]] - Displays variance captured table for model.
:[[ssqtable]] - Displays variance captured table for model.
(Sub topic of [[Qualitative_Exploratory_Analysis_and_Classification|Qualitative_Exploratory_Analysis_and_Classification]])

Revision as of 15:40, 2 September 2008

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)