Alphabetical Index: Difference between revisions
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===A=== | |||
:[[abline]] - Draws a line on the current axes with a given slope and intercept. | :[[abline]] - Draws a line on the current axes with a given slope and intercept. | ||
:[[alignmat]] - Alignment of matrices and N-way arrays. | :[[alignmat]] - Alignment of matrices and N-way arrays. | ||
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:[[autoimport]] - Automatically reads specified file. Handles all standard filetypes. | :[[autoimport]] - Automatically reads specified file. Handles all standard filetypes. | ||
===B=== | |||
:[[b3spline]] - Univariate spline fit and prediction. | :[[b3spline]] - Univariate spline fit and prediction. | ||
:[[baseline]] - Subtracts a polynomial baseline offset from spectra. | :[[baseline]] - Subtracts a polynomial baseline offset from spectra. | ||
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:[[builddbstr]] - Builds a database connection string. | :[[builddbstr]] - Builds a database connection string. | ||
===C=== | |||
:[[calibsel]] - Statistical procedure for variable selection. | :[[calibsel]] - Statistical procedure for variable selection. | ||
:[[caltransfer]] - Create or apply calibration and instrument transfer models. | :[[caltransfer]] - Create or apply calibration and instrument transfer models. | ||
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:[[crossval]] - Cross-validation for decomposition and linear regression. | :[[crossval]] - Cross-validation for decomposition and linear regression. | ||
===D=== | |||
:[[datahat]] - Calculates the model estimate and residuals of the data. | :[[datahat]] - Calculates the model estimate and residuals of the data. | ||
:[[datasetdemo]] - Demonstrates use of the dataset object. | :[[datasetdemo]] - Demonstrates use of the dataset object. | ||
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:[[durbin_watson]] - Criterion for measure of continuity. | :[[durbin_watson]] - Criterion for measure of continuity. | ||
===E=== | |||
:[[editds]] - Editor for DataSet Objects. | :[[editds]] - Editor for DataSet Objects. | ||
:[[ellps]] - Plots an ellipse on an existing figure. | :[[ellps]] - Plots an ellipse on an existing figure. | ||
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:[[exportfigure]] - Automatically export figures to an external program. | :[[exportfigure]] - Automatically export figures to an external program. | ||
===F=== | |||
:[[factdes]] - Full factorial design of experiments. | :[[factdes]] - Full factorial design of experiments. | ||
:[[fastnnls]] - Fast non-negative least squares. | :[[fastnnls]] - Fast non-negative least squares. | ||
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:[[fullsearch]] - Exhaustive Search Algorithm for small problems. | :[[fullsearch]] - Exhaustive Search Algorithm for small problems. | ||
===G=== | |||
:[[gaselctr]] - Genetic algorithm for variable selection with PLS. | :[[gaselctr]] - Genetic algorithm for variable selection with PLS. | ||
:[[genalg]] - Genetic Algorithm for Variable Selection. | :[[genalg]] - Genetic Algorithm for Variable Selection. | ||
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:[[gselect]] - Selects objects in a figure (various selection styles). | :[[gselect]] - Selects objects in a figure (various selection styles). | ||
===H=== | |||
:[[helppls]] - Context related help on the PLS_Toolbox. | :[[helppls]] - Context related help on the PLS_Toolbox. | ||
:[[hline]] - Adds horizontal lines to figure at specified locations. | :[[hline]] - Adds horizontal lines to figure at specified locations. | ||
===I=== | |||
:[[infobox]] - Display a string in an information box. | :[[infobox]] - Display a string in an information box. | ||
:[[ipls]] - Interval PLS variable selection. | :[[ipls]] - Interval PLS variable selection. | ||
===J=== | |||
:[[jmlimit]] - Confidence limits for Q residuals via Jackson-Mudholkar. | :[[jmlimit]] - Confidence limits for Q residuals via Jackson-Mudholkar. | ||
===K=== | |||
:[[knn]] - K-nearest neighbor classifier. | :[[knn]] - K-nearest neighbor classifier. | ||
===L=== | |||
:[[lamsel]] - Determines indices of wavelength axes in specified ranges. | :[[lamsel]] - Determines indices of wavelength axes in specified ranges. | ||
:[[lddlgpls]] - Dialog to load variable from workspace or MAT file. | :[[lddlgpls]] - Dialog to load variable from workspace or MAT file. | ||
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:[[lwrpred]] - Predictions based on locally weighted regression models. | :[[lwrpred]] - Predictions based on locally weighted regression models. | ||
===M=== | |||
:[[matchvars]] - Align variables of a dataset to allow prediction with a model. | :[[matchvars]] - Align variables of a dataset to allow prediction with a model. | ||
:[[manrotate]] - Graphical interface to manually rotate model loadings. | :[[manrotate]] - Graphical interface to manually rotate model loadings. | ||
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:[[mtfreadr]] - Read AdventaCT Multi-Trace Format (MTF) files. | :[[mtfreadr]] - Read AdventaCT Multi-Trace Format (MTF) files. | ||
===N=== | |||
:[[nassign]] - Generic subscript assignment indexing for n-way arrays. | :[[nassign]] - Generic subscript assignment indexing for n-way arrays. | ||
:[[ncrossval]] - Cross-validation for multilinear PLS (N-PLS). | :[[ncrossval]] - Cross-validation for multilinear PLS (N-PLS). | ||
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:[[npreprocess]] - Preprocessing of multi-way arrays. | :[[npreprocess]] - Preprocessing of multi-way arrays. | ||
===O=== | |||
:[[oscapp]] - Applies OSC model to new data. | :[[oscapp]] - Applies OSC model to new data. | ||
:[[osccalc]] - Calculates orthogonal signal correction (OSC). | :[[osccalc]] - Calculates orthogonal signal correction (OSC). | ||
:[[outerm]] - Computes outer product of any number of vectors. | :[[outerm]] - Computes outer product of any number of vectors. | ||
===P=== | |||
:[[parafac]] - Parallel factor analysis for n-way arrays. | :[[parafac]] - Parallel factor analysis for n-way arrays. | ||
:[[parafac2]] - Parallel factor analysis for unevenly sized n-way arrays. | :[[parafac2]] - Parallel factor analysis for unevenly sized n-way arrays. | ||
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:[[purityengine]] - calculates purity values of columns of data set. | :[[purityengine]] - calculates purity values of columns of data set. | ||
===Q=== | |||
:[[querydb]] - Executes a query on a database defined by connection string. | :[[querydb]] - Executes a query on a database defined by connection string. | ||
===R=== | |||
:[[readme]] - Release notes for Version 4.1 of PLS_Toolbox. | :[[readme]] - Release notes for Version 4.1 of PLS_Toolbox. | ||
:[[regcon]] - Converts regression model to y = ax + b form. | :[[regcon]] - Converts regression model to y = ax + b form. | ||
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:[[rwb]] - Red white and blue color map. | :[[rwb]] - Red white and blue color map. | ||
===S=== | |||
:[[savgol]] - Savitzky-Golay smoothing and differentiation. | :[[savgol]] - Savitzky-Golay smoothing and differentiation. | ||
:[[savgolcv]] - Cross-validation for Savitzky-Golay smoothing and differentiation. | :[[savgolcv]] - Cross-validation for Savitzky-Golay smoothing and differentiation. | ||
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:[[svdlgpls]] - Dialog to save variable to workspace or MAT file. | :[[svdlgpls]] - Dialog to save variable to workspace or MAT file. | ||
===T=== | |||
:[[tld]] - Trilinear decomposition. | :[[tld]] - Trilinear decomposition. | ||
:[[trendtool]] - Univariate trend analysis tool. | :[[trendtool]] - Univariate trend analysis tool. | ||
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:[[tucker]] - Analysis for n-way arrays. | :[[tucker]] - Analysis for n-way arrays. | ||
===U=== | |||
:[[unfoldm]] - Rearranges (unfolds) an augmented matrix to row vectors. | :[[unfoldm]] - Rearranges (unfolds) an augmented matrix to row vectors. | ||
:[[unfoldmw]] - Unfolds multiway arrays along specified order. | :[[unfoldmw]] - Unfolds multiway arrays along specified order. | ||
:[[updatemod]] - Update model structure to be compatible with the current version. | :[[updatemod]] - Update model structure to be compatible with the current version. | ||
===V=== | |||
:[[varcap]] - Variance captured for each variable in PCA model. | :[[varcap]] - Variance captured for each variable in PCA model. | ||
:[[varcapy]] - Calculate percent y-block variance captured by a PLS regression model. | :[[varcapy]] - Calculate percent y-block variance captured by a PLS regression model. | ||
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:[[vline]] - Adds vertical lines to figure at specified locations. | :[[vline]] - Adds vertical lines to figure at specified locations. | ||
===W=== | |||
:[[wlsbaseline]] - Weighted least squares baseline function. | :[[wlsbaseline]] - Weighted least squares baseline function. | ||
:[[writecsv]] - Export a DataSet object to a comma-separated values (CSV) file. | :[[writecsv]] - Export a DataSet object to a comma-separated values (CSV) file. | ||
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:[[wtfa]] - Window target factor analysis. | :[[wtfa]] - Window target factor analysis. | ||
===X=== | |||
:[[xclgetdata]] - Extracts matrix from an Excel spreadsheet. | :[[xclgetdata]] - Extracts matrix from an Excel spreadsheet. | ||
:[[xclputdata]] - Write matrix to an Excel spreadsheet. | :[[xclputdata]] - Write matrix to an Excel spreadsheet. | ||
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:[[xyreadr]] - Reads one or more ASCII XY or XY... files into a DataSet object. | :[[xyreadr]] - Reads one or more ASCII XY or XY... files into a DataSet object. | ||
===Y=== | |||
:[[yscale]] - Rescales the y-axis limits on each subplot in a figure. | :[[yscale]] - Rescales the y-axis limits on each subplot in a figure. | ||
===Z=== | |||
:[[zline]] - Adds vertical lines to 3D figure at specified locations. | :[[zline]] - Adds vertical lines to 3D figure at specified locations. |
Revision as of 18:02, 14 August 2008
A
- abline - Draws a line on the current axes with a given slope and intercept.
- alignmat - Alignment of matrices and N-way arrays.
- alignpeaks - Calibrates wavelength scale using standard peaks.
- alignspectra - Calibrates wavelength scale using standard spectrum.
- als - Alternating Least Squares computational engine.
- analysis - Graphical user interface for data analysis.
- anova1w - One-way analysis of variance.
- anova2w - Two-way analysis of variance.
- areadr - Reads ascii data and strips header.
- auto - Autoscales matrix to mean zero unit variance.
- autocor - Auto-correlation function for time series data.
- autoimport - Automatically reads specified file. Handles all standard filetypes.
B
- b3spline - Univariate spline fit and prediction.
- baseline - Subtracts a polynomial baseline offset from spectra.
- baselinew - Baseline using windowed polynomial filter.
- besttime - Returns a string describing the time interval provided (in seconds).
- batchdigester - Parse wafer or batch data into MPCA or Summary PCA form.
- browse - PLS_Toolbox Toolbar and Workspace browser.
- builddbstr - Builds a database connection string.
C
- calibsel - Statistical procedure for variable selection.
- caltransfer - Create or apply calibration and instrument transfer models.
- cellne - Compares two cells for inequality in size and/or values.
- chilimit - Chi-squared confidence limits from sum-of-squares residuals.
- choosecomp - Automatic selection of components for various model types.
- choosencomp - GUI to select number of components from SSQ table.
- class2logical - Create a PLSDA logical block from class assignments.
- cluster - KNN and K-means cluster analysis with dendrograms.
- cls - Classical Least Squares regression for multivariate Y.
- coadd - Reduce resolution through combination of adjacent variables or samples.
- 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.
- comparelcms_simengine - Calculational Engine for comparelcms.
- comparevars - Compares two variables of any type and returns differences.
- compressmodel - Remove references to unused variables from a model.
- copydsfields - Copies informational fields between datasets and/or models.
- 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.
- corrmap - Correlation map with variable grouping.
- corrspec - Resolves correlation spectroscopy maps.
- cr - Continuum Regression for multivariate y.
- crcvrnd - Cross-validation for continuum regression.
- crosscor - Cross-correlation function for time series data.
- crossval - Cross-validation for decomposition and linear regression.
D
- datahat - Calculates the model estimate and residuals of the data.
- datasetdemo - Demonstrates use of the dataset object.
- delsamps - Deletes samples (rows) or variables (columns) from data matrices.
- demos - Demo list for the PLS_Toolbox.
- deresolv - Changes high resolution spectra to low resolution.
- discrimprob - Discriminate probabilities for continuous predicted values.
- dispmat - Calculates the dispersion matrix of two spectral data sets.
- distslct - Selects samples on outside of data space.
- doptimal - Selects samples based on D-Optimal criteria.
- dp - Draws a diagonal line on an existing figure.
- durbin_watson - Criterion for measure of continuity.
E
- editds - Editor for DataSet Objects.
- ellps - Plots an ellipse on an existing figure.
- encode - Translates a variable into matlab-executable code.
- erdlgpls - Error dialog.
- estimatefactors - Estimate number of significant factors in multivariate data.
- evolvfa - Evolving factor analysis (forward and reverse).
- evridebug - Checks the PLS_Toolbox installation for problems.
- evriinstall - Install Eigenvector Research Product.
- evrirelease - Returns Eigenvector product release number.
- evriuninstall - Uninstall an Eigenvector Research toolbox.
- evriupdate - Check Eigenvector.com for available PLS_Toolbox updates.
- ewfa - Evolving window factor analysis.
- excludemissing - Automatically exclude too-much missing data in a matrix.
- explode - Extracts variables from a structure array to the workspace.
- exportfigure - Automatically export figures to an external program.
F
- factdes - Full factorial design of experiments.
- fastnnls - Fast non-negative least squares.
- ffacdes1 - Fractional factorial design of experiments.
- figbrowser - Browser with icons of all Matlab figures.
- figmerit - Analytical figures of merit for multivariate calibration.
- findindx - Finds the index of the array element closest to value r.
- fir2ss - Transform FIR model into equivalent state space model.
- frpcr - Full-ratio PCR calibration and prediction.
- frpcrengine - Engine for full-ratio PCR regression.
- ftest - F test and inverse F test statistic.
- fullsearch - Exhaustive Search Algorithm for small problems.
G
- gaselctr - Genetic algorithm for variable selection with PLS.
- genalg - Genetic Algorithm for Variable Selection.
- genalgplot - Plot GA results using selected variable plot, color-coded by RMSECV.
- getdatasource - Extract summary dataset info.
- getmlversion - Returns current Matlab version as an integer.
- getpidata - Uses the current PI connection to construct a DSO from 'taglist'.
- getplspref - Get overriding options (preferences) for PLS_Toolbox functions.
- glsw - Generalized least-squares weighting/preprocessing.
- gram - Generalized rank annihilation method.
- gscale - Group/block scaling for a single or multiple blocks.
- gscaler - Applies group/block scaling to submatrices of a single matrix.
- gselect - Selects objects in a figure (various selection styles).
H
- helppls - Context related help on the PLS_Toolbox.
- hline - Adds horizontal lines to figure at specified locations.
I
J
- jmlimit - Confidence limits for Q residuals via Jackson-Mudholkar.
K
- knn - K-nearest neighbor classifier.
L
- lamsel - Determines indices of wavelength axes in specified ranges.
- lddlgpls - Dialog to load variable from workspace or MAT file.
- leverag - Calculate sample leverages.
- linmodeldemo - Demo of the CROSSVAL, MODLRDER, PCR, PLS, PREPROCESS and SSQTABLE functions.
- logdecay - Mean centers and variance scales a matrix using the log decay of the variable axis.
- loopfilereadr - An example function for reading files in a loop from a directory.
- lsq2top - Fits a polynomial to the top/(bottom) of data.
- lwrpred - Predictions based on locally weighted regression models.
M
- matchvars - Align variables of a dataset to allow prediction with a model.
- manrotate - Graphical interface to manually rotate model loadings.
- mcr - Multivariate curve resolution with constraints.
- mdcheck - Missing Data Checker and infiller.
- med2top - Fits a constant to top/(bottom) of data.
- medcn - Median center scales matrix to median zero.
- mlpca - Maximum likelihood principal components analysis.
- mlr - Multiple Linear Regression for multivariate Y.
- mlrengine - Multiple Linear Regression computational engine.
- mncn - Scale matrix to mean zero.
- modelcache - Stores and retrieves models in the model cache.
- modelselector - Create or apply a model selector model.
- modelstruct - Constructs an empty model structure.
- modelviewer - Visualization tool for multi-way models.
- modlpred - Predictions using standard model structures.
- modlrder - Displays model info for standard model structures.
- moveobj - Interactively reposition graphics objects.
- mpca - Multi-way (unfold) principal components analysis.
- mplot - Automatic creation of subplots and plotting.
- mscorr - Multiplicative scatter/signal correction (MSC).
- mtfreadr - Read AdventaCT Multi-Trace Format (MTF) files.
N
- nassign - Generic subscript assignment indexing for n-way arrays.
- ncrossval - Cross-validation for multilinear PLS (N-PLS).
- nindex - Generic subscript indexing for n-way arrays.
- nippls - NIPALS Partial Least Squares computational engine.
- normaliz - Normalize rows of matrix.
- npls - Multilinear-PLS (N-PLS) for true multi-way regression.
- npreprocess - Preprocessing of multi-way arrays.
O
- oscapp - Applies OSC model to new data.
- osccalc - Calculates orthogonal signal correction (OSC).
- outerm - Computes outer product of any number of vectors.
P
- parafac - Parallel factor analysis for n-way arrays.
- parafac2 - Parallel factor analysis for unevenly sized n-way arrays.
- parsemixed - Parse numerical and text data into a DataSet Object.
- pca - Principal components analysis.
- pcaengine - Principal Components Analysis computational engine.
- pcapro - Projects new data on old principal components model.
- pcolormap - Pseudocolor plot with labels and colorbar.
- pcr - Principal components regression for multivariate Y.
- pcrengine - Principal Component Regression computational engine.
- percentile - Finds percentile point (similar to MEDIAN).
- ploteigen - Builds dataset object of eigenvalues/RMSECV information.
- plotgui - Interactive data viewer.
- plotloads - Extract and display loadings information from a model structure.
- plotscores - Extract and display score information from a model.
- pls - Partial least squares regression for multivariate Y.
- plsda - Partial least squares discriminant analysis.
- plsdaroc - Calculate and display ROC curves for PLSDA model.
- plsdthres - Bayesian threshold determination for PLS Discriminate Analysis.
- plslogo - Generates PLS_Toolbox CR surface logo.
- plsnipal - NIPALS algorithm for one PLS latent variable.
- plspulsm - Identifies FIR dynamics models for MISO systems.
- plsrsgcv - Generate PLS models for MSPC with cross-validation.
- plsrsgn - Generates a matrix of PLS models for MSPC.
- plsver - Displays version information.
- plttern - Plots a 2D ternary diagram.
- pltternf - Plots a 3D ternary diagram with frequency of occurrence.
- polyinterp - Polynomial interpolation, smoothing, and differentiation.
- polypls - PLS regression with polynomial inner-relation.
- preprocess - Selection and application of standard preprocessing structures.
- preprouser - User-defined preprocessing methods.
- projdemo - Demo of the MLR, PCR, and PLS regression vectors.
- purity - Self-modeling mixture analysis method based on purity of variables or spectra.
- purityengine - calculates purity values of columns of data set.
Q
- querydb - Executes a query on a database defined by connection string.
R
- readme - Release notes for Version 4.1 of PLS_Toolbox.
- regcon - Converts regression model to y = ax + b form.
- registerspec - Shift spectra based on expected peak locations.
- replace - Replaces variables based on PCA or PLS models.
- rescale - Scales data back to original scaling.
- residuallimit - Estimates confidence limits for sum squared residuals.
- reversebytes - Flips order of bytes in a word.
- reviewmodel - Examines a standard model structure for typical problems.
- ridge - Ridge regression by Hoerl-Kennard-Baldwin.
- ridgecv - Ridge regression by cross validation.
- rinverse - Calculate pseudo inverse for PLS, PCR and RR models.
- rmse - Calculate Root Mean Square Error.
- rwb - Red white and blue color map.
S
- savgol - Savitzky-Golay smoothing and differentiation.
- savgolcv - Cross-validation for Savitzky-Golay smoothing and differentiation.
- scale - Scales data using specified means and std. devs.
- setpath - Modifies and saves current directory to the MATLAB search path.
- setplspref - Set overriding options (preferences) for PLS_Toolbox functions.
- shuffle - Randomly re-orders matrix and multiple blocks rows.
- simca - Soft Independent Method of Class Analogy.
- simpls - Partial Least Squares computational engine using SIMPLS algorithm.
- snv - Standard normal variate scaling.
- spcreadr - Reads a Galactic SPC file.
- specedit - GUI for selecting spectral regions on a plot.
- ssqtable - Displays variance captured table for model.
- statdemo - Elementary stats, t test, F test and AVOVA.
- stddemo - Demo of the STDSSLCT, STDGEN, and OSCCALC functions.
- stdfir - Standardization based on FIR modelling.
- stdgen - Piecewise and direct standardization transform generator.
- stdize - Applies transform from STDGEN to new spectra.
- stdsslct - Selects data subsets (often for use in standardization).
- string_x - Add backslash before troublesome TeX characters.
- subgroupcl - Displays a confidence ellipse for points in a two-dimensional plot.
- super_reduce - Eliminates highly correlated variables.
- svdlgpls - Dialog to save variable to workspace or MAT file.
T
- tld - Trilinear decomposition.
- trendtool - Univariate trend analysis tool.
- tsqlim - Confidence limits for Hotelling's T^2.
- tsqmtx - Calculates matrix for T^2 contributions for PCA.
- ttestp - Evaluates t-distribution and its inverse.
- tucker - Analysis for n-way arrays.
U
- unfoldm - Rearranges (unfolds) an augmented matrix to row vectors.
- unfoldmw - Unfolds multiway arrays along specified order.
- updatemod - Update model structure to be compatible with the current version.
V
- varcap - Variance captured for each variable in PCA model.
- varcapy - Calculate percent y-block variance captured by a PLS regression model.
- varimax - Orthogonal rotation of loadings.
- vip - Calculate Variable Importance in Projection from regression model.
- vline - Adds vertical lines to figure at specified locations.
W
- wlsbaseline - Weighted least squares baseline function.
- writecsv - Export a DataSet object to a comma-separated values (CSV) file.
- wrtpulse - Create input/output matrices for dynamic model identification.
- wtfa - Window target factor analysis.
X
- xclgetdata - Extracts matrix from an Excel spreadsheet.
- xclputdata - Write matrix to an Excel spreadsheet.
- xclreadr - Reads an ASCII or .XLS file in as a DataSet Object.
- xlsreadr - Reads .XLS files from MS Excel and other spreadsheets.
- xyreadr - Reads one or more ASCII XY or XY... files into a DataSet object.
Y
- yscale - Rescales the y-axis limits on each subplot in a figure.
Z
- zline - Adds vertical lines to 3D figure at specified locations.