Man pages for svkucheryavski/mdatools
Multivariate Data Analysis for Chemometrics

as.matrix.classresas.matrix method for classification results
as.matrix.ldecompas.matrix method for ldecomp object
as.matrix.plsdaresas.matrix method for PLS-DA results
as.matrix.plsresas.matrix method for PLS results
as.matrix.regcoeffsas.matrix method for regression coefficients class
as.matrix.regresas.matrix method for regression results
barsShow bars on axes
classify.plsdaPLS-DA classification
classresResults of classification
crossvalGenerate sequence of indices for cross-validation
crossval.strString with description of cross-validation method
erfinvInverse error function
errorbarsShow error bars on a plot
getBLow-dimensional approximation of data matrix X
getCalibrationDataCalibration data
getCalibrationData.pcaGet calibration data
getCalibrationData.simcamGet calibration data
getClassificationPerformanceCalculation of classification performance parameters
getConfusionMatrixConfusion matrix for classification results
getConfusionMatrix.classresConfusion matrix for classification results
getMainTitleGet main title
getProbabilitiesGet class belonging probability
getProbabilities.simcaProbability of class belonging for PCA/SIMCA results
getRegcoeffsGet regression coefficients
getRegcoeffs.plsRegression coefficients for PLS model'
getSelectedComponentsGet selected components
getSelectedComponents.classresGet selected components
getSelectivityRatioSelectivity ratio
getSelectivityRatio.plsSelectivity ratio for PLS model
getVIPScoresVIP scores
getVIPScores.plsVIP scores for PLS model
imshowshow image data as an image
iplsVariable selection with interval PLS
ipls.backwardRuns the backward iPLS algorithm
ipls.forwardRuns the forward iPLS algorithm
ldecompLinear decomposition of data
ldecomp.getDistancesResiduals distances for linear decomposition
ldecomp.getVariancesExplained variance for linear decomposition
ldecomp.plotLimitsShows lines with critical limits on residuals plot
mda.cbindA wrapper for cbind() method with proper set of attributes
mda.data2imConvert data matrix to an image
mda.df2matConvert data frame to a matrix
mda.exclcolsExclude/hide columns in a dataset
mda.exclrowsExclude/hide rows in a dataset
mda.getattrGet data attributes
mda.getexclindGet indices of excluded rows or columns
mda.im2dataConvert image to data matrix
mda.inclcolsInclude/unhide the excluded columns
mda.inclrowsinclude/unhide the excluded rows
mdaplotPlotting function for a single set of objects
mdaplot.areColorsCheck color values
mdaplot.formatValuesFormat vector with numeric values
mdaplotgPlotting function for several sets of objects
mdaplot.getAxesLimCalculate axes limits
mdaplot.getColorsColor values for plot elements
mdaplot.plotAxesCreate axes plane
mdaplot.showColorbarPlot colorbar
mdaplot.showGridPlot grid
mdaplot.showLabelsPlot labels Shows labels for data elements (points, bars) on...
mdaplot.showLegendPlot legend
mdaplot.showLinesPlot lines
mdaplot.showRegressionLineRegression line for data points
mda.rbindA wrapper for rbind() method with proper set of attributes
mda.setattrSet data attributes
mda.setimbgRemove background pixels from image data
mda.showWrapper for show() method
mda.subsetA wrapper for subset() method with proper set of attributed
mda.tA wrapper for t() method with proper set of attributes
mdatoolsPackage for Multivariate Data Analysis (Chemometrics)
pcaPrincipal Component Analysis
pca.calPCA model calibration
pca.crossvalCross-validation of a PCA model
pca.mvreplaceReplace missing values in data
pca.nipalsNIPALS based PCA algorithm
pcaresResults of PCA decomposition
pca.runRuns one of the selected PCA methods
pca.svdSingular Values Decomposition based PCA algorithm
pelletsImage data
peoplePeople data
pinvPseudo-inverse matrix
plotBiplot.pcaPCA biplot
plot.classresPlot function for classification results
plotCoomanCooman's plot
plotCooman.simcamCooman's plot for SIMCAM model
plotCooman.simcamresCooman's plot for SIMCAM results
plotCorrCorrelation plot
plotCorr.randtestCorrelation plot for randomization test results
plotCumVarianceVariance plot
plotCumVariance.ldecompCumulative explained variance plot for linear decomposition
plotCumVariance.pcaCumulative explained variance plot for PCA
plotDiscriminationPowerDiscrimination power plot
plotDiscriminationPower.simcamDiscrimination power plot for SIMCAM model
plotExtremeShows extreme plot for SIMCA model
plotExtreme.simcaShows extreme plot for SIMCA model
plotHistStatistic histogram
plotHist.randtestHistogram plot for randomization test results
plot.iplsOverview plot for iPLS results
plotLoadingsLoadings plot
plotLoadings.pcaLoadings plot for PCA
plotMisclassifiedMisclassification ratio plot
plotMisclassified.classmodelMisclassified ratio plot for classification model
plotMisclassified.classresMisclassified ratio plot for classification results
plotModelDistanceModel distance plot
plotModelDistance.simcamModelling distance plot for SIMCAM model
plotModellingPowerModelling power plot
plotModellingPower.simcaModelling power plot for SIMCA model
plotModellingPower.simcamModelling power plot for SIMCAM model
plot.pcaModel overview plot for PCA
plot.pcaresPlot method for PCA results object
plotPerformanceClassification performance plot
plotPerformance.classmodelPerformance plot for classification model
plotPerformance.classresPerformance plot for classification results
plot.plsModel overview plot for PLS
plot.plsdaModel overview plot for PLS-DA
plot.plsdaresOverview plot for PLS-DA results
plot.plsresOverview plot for PLS results
plotPredictionsPredictions plot
plotPredictions.classmodelPredictions plot for classification model
plotPredictions.classresPrediction plot for classification results
plotPredictions.plsPredictions plot for PLS
plotPredictions.plsresPredictions plot for PLS results
plotPredictions.regresPredictions plot for regression results
plotProbabilitiesPlot for class belonging probability
plotProbabilities.classresPlot for class belonging probability
plot.randtestPlot for randomization test results
plot.regcoeffsRegression coefficients plot
plotRegcoeffsRegression coefficients plot
plotRegcoeffs.plsRegression coefficient plot for PLS
plot.regresplot method for regression results
plotResidualsResiduals plot
plotResiduals.ldecompResiduals plot for linear decomposition
plotResiduals.pcaResiduals plot for PCA
plotResiduals.pcaresResiduals plot for PCA results
plotResiduals.simcamResiduals plot for SIMCAM model
plotResiduals.simcamresResiduals plot for SIMCAM results
plotResiduals.simcaresResiduals plot for SIMCA results
plotRMSERMSE plot
plotRMSE.iplsRMSE development plot
plotRMSE.plsRMSE plot for PLS
plotRMSE.regresRMSE plot for regression results
plotScoresScores plot
plotScores.ldecompScores plot for linear decomposition
plotScores.pcaScores plot for PCA
plotSelectionSelected intervals plot
plotSelection.iplsiPLS performance plot
plotSelectivityRatioSelectivity ratio plot
plotSelectivityRatio.plsSelectivity ratio plot for PLS model
plotSensitivitySensitivity plot
plotSensitivity.classmodelSensitivity plot for classification model
plotSensitivity.classresSensitivity plot for classification results
plot.simcaModel overview plot for SIMCA
plot.simcamModel overview plot for SIMCAM
plot.simcamresModel overview plot for SIMCAM results
plotSpecificitySpecificity plot
plotSpecificity.classmodelSpecificity plot for classification model
plotSpecificity.classresSpecificity plot for classification results
plotVarianceVariance plot
plotVariance.ldecompExplained variance plot for linear decomposition
plotVariance.pcaExplained variance plot for PCA
plotVariance.plsVariance plot for PLS
plotVIPScoresVIP scores plot
plotVIPScores.plsVIP scores plot for PLS model
plotXCumVarianceX cumulative variance plot
plotXCumVariance.plsCumulative explained X variance plot for PLS
plotXCumVariance.plsresExplained cumulative X variance plot for PLS results
plotXLoadingsX loadings plot
plotXLoadings.plsX loadings plot for PLS
plotXResidualsX residuals plot
plotXResiduals.plsX residuals plot for PLS
plotXResiduals.plsresX residuals plot for PLS results
plotXScoresX scores plot
plotXScores.plsX scores plot for PLS
plotXScores.plsresX scores plot for PLS results
plotXVarianceX variance plot
plotXVariance.plsExplained X variance plot for PLS
plotXVariance.plsresExplained X variance plot for PLS results
plotXYLoadingsX loadings plot
plotXYLoadings.plsXY loadings plot for PLS
plotXYScoresXY scores plot
plotXYScores.plsXY scores plot for PLS
plotXYScores.plsresXY scores plot for PLS results
plotYCumVarianceY cumulative variance plot
plotYCumVariance.plsCumulative explained Y variance plot for PLS
plotYCumVariance.plsresExplained cumulative Y variance plot for PLS results
plotYResidualsY residuals plot
plotYResiduals.plsY residuals plot for PLS
plotYResiduals.regresResiduals plot for regression results
plotYVarianceY variance plot
plotYVariance.plsExplained Y variance plot for PLS
plotYVariance.plsresExplained Y variance plot for PLS results
plsPartial Least Squares regression
pls.calPLS model calibration
pls.calculateSelectivityRatioSelectivity ratio calculation
pls.calculateVIPScoresVIP scores calculation for PLS model
pls.crossvalCross-validation of a PLS model
plsdaPartial Least Squares Discriminant Analysis
plsda.calCalibrate PLS-DA model
plsda.crossvalCross-validation of a PLS-DA model
plsdaresPLS-DA results
plsresPLS results
pls.runRuns selected PLS algorithm
pls.simplsSIMPLS algorithm
predict.pcaPCA predictions
predict.plsPLS predictions
predict.plsdaPLS-DA predictions
predict.simcaSIMCA predictions
predict.simcamSIMCA multiple classes predictions
prep.autoscaleAutoscale values
prep.mscMultiplicative Scatter Correction transformation
prep.savgolSavytzky-Golay filter
prep.snvStandard Normal Variate transformation
print.classresPrint information about classification result object
print.iplsPrint method for iPLS
print.ldecompPrint method for linear decomposition
print.pcaPrint method for PCA model object
print.pcaresPrint method for PCA results object
print.plsPrint method for PLS model object
print.plsdaPrint method for PLS-DA model object
print.plsdaresPrint method for PLS-DA results object
print.plsresprint method for PLS results object
print.randtestPrint method for randtest object
print.regcoeffsprint method for regression coefficients class
print.regresprint method for regression results object
print.simcaPrint method for SIMCA model object
print.simcamPrint method for SIMCAM model object
print.simcamresPrint method for SIMCAM results object
print.simcaresPrint method for SIMCA results object
randtestRandomization test for PLS regression
regcoeffsRegression coefficients
regcoeffs.getStatConfidence intervals and p-values for regression...
regresRegression results
regres.biasPrediction bias
regres.errError of prediction
regres.r2Determination coefficient
reslim.chisqCalculates critical limits or statistic values for...
reslim.ddStatistical limits for Q and T2 residuals using Data Driven...
reslim.hotellingCalculates critical limits for T2-residuals using Hotelling...
reslim.jmCalculates critical limits for Q-residuals using classic JM...
selectCompNumSelect optimal number of components for a model
selectCompNum.pcaSelect optimal number of components for PCA model
selectCompNum.plsSelect optimal number of components for PLS model
setResLimitsSet residual limits for PCA model
setResLimits.pcaSet statistical limits for Q and T2 residuals for PCA model
showPredictions.classresShow predicted class values
simcaSIMCA one-class classification
simca.classifySIMCA classification
simca.crossvalCross-validation of a SIMCA model
simcamSIMCA multiclass classification
simcam.getPerformanceStatisticsPerformance statistics for SIMCAM model
simcamresResults of SIMCA multiclass classification
simcaresResults of SIMCA one-class classification @description...
simdataSpectral data of polyaromatic hydrocarbons mixing
summary.classresSummary statistics about classification result object
summary.iplsSummary for iPLS results
summary.ldecompSummary statistics for linear decomposition
summary.pcaSummary method for PCA model object
summary.pcaresSummary method for PCA results object
summary.plsSummary method for PLS model object
summary.plsdaSummary method for PLS-DA model object
summary.plsdaresSummary method for PLS-DA results object
summary.plsressummary method for PLS results object
summary.randtestSummary method for randtest object
summary.regcoeffsSummary method for regcoeffs object
summary.regressummary method for regression results object
summary.simcaSummary method for SIMCA model object
summary.simcamSummary method for SIMCAM model object
summary.simcamresSummary method for SIMCAM results object
summary.simcaresSummary method for SIMCA results object
svkucheryavski/mdatools documentation built on Aug. 27, 2019, 4:38 a.m.