R Packages that start with:
A . B . C . D . E . F . G . H . I . J . K . L . M . N . O . P . Q . R . S . T . U . V . W . X . Y . Z .
Functions
- as.matrix.classres()
- as.matrix.ldecomp()
- as.matrix.plsdares()
- as.matrix.plsres()
- as.matrix.regcoeffs()
- as.matrix.regres()
- as.matrix.simcamres()
- as.matrix.simcares()
- capitalize()
- carbs()
- categorize()
- categorize.pca()
- categorize.pls()
- chisq.crit()
- chisq.prob()
- classify.plsda()
- classify.simca()
- classmodel.processRefValues()
- classres.getPerformance()
- classres()
- confint.regcoeffs()
- constraint()
- constraintAngle()
- constraintClosure()
- constraintNonNegativity()
- constraintNorm()
- constraints.list()
- constraintUnimod()
- crossval.getParams()
- crossval()
- crossval.regmodel()
- crossval.simca()
- crossval.str()
- dd.crit()
- ddmoments.param()
- ddrobust.param()
- ellipse()
- employ.constraint()
- employ.prep()
- fprintf()
- getCalibrationData()
- getCalibrationData.pca()
- getCalibrationData.simcam()
- getConfidenceEllipse()
- getConfusionMatrix.classres()
- getConfusionMatrix()
- getConvexHull()
- getDataLabels()
- getImplementedConstraints()
- getImplementedPrepMethods()
- getLabelsAsIndices()
- getLabelsAsValues()
- getMainTitle()
- getPlotColors()
- getProbabilities()
- getProbabilities.pca()
- getProbabilities.simca()
- getPureVariables()
- getRegcoeffs()
- getRegcoeffs.regmodel()
- getRes()
- getSelectedComponents()
- getSelectivityRatio()
- getSelectivityRatio.pls()
- getVariance.mcr()
- getVIPScores()
- getVIPScores.pls()
- hotelling.crit()
- hotelling.prob()
- imshow()
- ipls.backward()
- ipls.forward()
- ipls()
- jm.crit()
- jm.prob()
- ldecomp.getDistances()
- ldecomp.getLimitsCoordinates()
- ldecomp.getLimParams()
- ldecomp.getQLimits()
- ldecomp.getT2Limits()
- ldecomp.getVariances()
- ldecomp()
- ldecomp.plotResiduals()
- mcr()
- mcrals.cal()
- mcrals.fcnnls()
- mcrals.nnls()
- mcrals()
- mcrals.ols()
- mcrpure()
- mda.cbind()
- mda.data2im()
- mda.df2mat()
- mda.exclcols()
- mda.exclrows()
- mda.getattr()
- mda.getexclind()
- mda.im2data()
- mda.inclcols()
- mda.inclrows()
- mda.purge()
- mda.purgeCols()
- mda.purgeRows()
- mda.rbind()
- mda.setattr()
- mda.setimbg()
- mda.show()
- mda.subset()
- mda.t()
- mdaplot.areColors()
- mdaplot.formatValues()
- mdaplot.getColors()
- mdaplot.getXAxisLim()
- mdaplot.getXTickLabels()
- mdaplot.getXTicks()
- mdaplot.getYAxisLim()
- mdaplot.getYTickLabels()
- mdaplot.getYTicks()
- mdaplot()
- mdaplot.plotAxes()
- mdaplot.prepareColors()
- mdaplot.showColorbar()
- mdaplot.showLines()
- mdaplotg.getLegend()
- mdaplotg.getXLim()
- mdaplotg.getYLim()
- mdaplotg()
- mdaplotg.prepareData()
- mdaplotg.processParam()
- mdaplotg.showLegend()
- mdaplotyy()
- mdatools()
- pca.cal()
- pca.getB()
- pca.mvreplace()
- pca.nipals()
- pca()
- pca.run()
- pca.svd()
- pcares()
- pellets()
- people()
- pinv()
- plot.classres()
- plot.ipls()
- plot.mcr()
- plot.pca()
- plot.pcares()
- plot.pls()
- plot.plsda()
- plot.plsdares()
- plot.plsres()
- plot.randtest()
- plot.regcoeffs()
- plot.regres()
- plot.simca()
- plot.simcam()
- plot.simcamres()
- plotBars()
- plotBiplot()
- plotBiplot.pca()
- plotConfidenceEllipse()
- plotContributions.mcr()
- plotContributions()
- plotConvexHull()
- plotCooman()
- plotCooman.simcam()
- plotCooman.simcamres()
- plotCorr()
- plotCorr.randtest()
- plotCumVariance.ldecomp()
- plotCumVariance.mcr()
- plotCumVariance()
- plotCumVariance.pca()
- plotDensity()
- plotDiscriminationPower()
- plotDiscriminationPower.simcam()
- plotDistDoF()
- plotErrorbars()
- plotExtreme()
- plotExtreme.pca()
- plotHist()
- plotHist.randtest()
- plotHotellingEllipse()
- plotLines()
- plotLoadings()
- plotLoadings.pca()
- plotMisclassified.classmodel()
- plotMisclassified.classres()
- plotMisclassified()
- plotModelDistance()
- plotModelDistance.simcam()
- plotModellingPower()
- plotPerformance.classmodel()
- plotPerformance.classres()
- plotPerformance()
- plotPointsShape()
- plotPredictions.classmodel()
- plotPredictions.classres()
- plotPredictions()
- plotPredictions.regmodel()
- plotPredictions.regres()
- plotPredictions.simcam()
- plotPredictions.simcamres()
- plotProbabilities.classres()
- plotProbabilities()
- plotPurity.mcrpure()
- plotPurity()
- plotPuritySpectra.mcrpure()
- plotPuritySpectra()
- plotQDoF()
- plotRegcoeffs()
- plotRegcoeffs.regmodel()
- plotRegressionLine()
- plotResiduals.ldecomp()
- plotResiduals()
- plotResiduals.pca()
- plotResiduals.regres()
- plotRMSE.ipls()
- plotRMSE()
- plotRMSE.regmodel()
- plotRMSE.regres()
- plotRMSERatio()
- plotRMSERatio.regmodel()
- plotScatter()
- plotScores.ldecomp()
- plotScores()
- plotScores.pca()
- plotSelection.ipls()
- plotSelection()
- plotSelectivityRatio()
- plotSelectivityRatio.pls()
- plotSensitivity.classmodel()
- plotSensitivity.classres()
- plotSensitivity()
- plotseries()
- plotSpecificity.classmodel()
- plotSpecificity.classres()
- plotSpecificity()
- plotSpectra.mcr()
- plotSpectra()
- plotT2DoF()
- plotVariance.ldecomp()
- plotVariance.mcr()
- plotVariance()
- plotVariance.pca()
- plotVariance.pls()
- plotVariance.plsres()
- plotVIPScores()
- plotVIPScores.pls()
- plotWeights()
- plotWeights.pls()
- plotXCumVariance()
- plotXCumVariance.pls()
- plotXCumVariance.plsres()
- plotXLoadings()
- plotXLoadings.pls()
- plotXResiduals()
- plotXResiduals.pls()
- plotXResiduals.plsres()
- plotXScores()
- plotXScores.pls()
- plotXScores.plsres()
- plotXVariance()
- plotXVariance.pls()
- plotXVariance.plsres()
- plotXYLoadings()
- plotXYLoadings.pls()
- plotXYResiduals()
- plotXYResiduals.pls()
- plotXYResiduals.plsres()
- plotXYScores()
- plotXYScores.pls()
- plotXYScores.plsres()
- plotYCumVariance()
- plotYCumVariance.pls()
- plotYCumVariance.plsres()
- plotYResiduals()
- plotYResiduals.plsres()
- plotYResiduals.regmodel()
- plotYVariance()
- plotYVariance.pls()
- plotYVariance.plsres()
- pls.cal()
- pls.getLimitsCoordinates()
- pls.getpredictions()
- pls.getxdecomp()
- pls.getxscores()
- pls.getydecomp()
- pls.getyscores()
- pls.getZLimits()
- pls()
- pls.run()
- pls.simpls()
- pls.simplsold()
- plsda()
- plsdares()
- plsres()
- predict.mcrals()
- predict.mcrpure()
- predict.pca()
- predict.pls()
- predict.plsda()
- predict.simca()
- predict.simcam()
- prep.alsbasecorr()
- prep.autoscale()
- prep.generic()
- prep.list()
- prep.msc()
- prep.norm()
- prep()
- prep.ref2km()
- prep.savgol()
- prep.snv()
- prep.transform()
- prep.varsel()
- preparePlotData()
- prepCalData()
- print.classres()
- print.ipls()
- print.ldecomp()
- print.mcrals()
- print.mcrpure()
- print.pca()
- print.pcares()
- print.pls()
- print.plsda()
- print.plsdares()
- print.plsres()
- print.randtest()
- print.regcoeffs()
- print.regmodel()
- print.regres()
- print.simca()
- print.simcam()
- print.simcamres()
- print.simcares()
- randtest()
- regcoeffs.getStats()
- regcoeffs()
- regres.bias()
- regres.err()
- regres()
- regres.r2()
- regres.rmse()
- regres.slope()
- regress.addattrs()
- repmat()
- selectCompNum()
- selectCompNum.pca()
- selectCompNum.pls()
- selratio()
- setDistanceLimits()
- setDistanceLimits.pca()
- setDistanceLimits.pls()
- showDistanceLimits()
- showLabels()
- showPredictions.classres()
- showPredictions()
- simca()
- simcam.getPerformanceStats()
- simcam()
- simcamres()
- simcares()
- simdata()
- splitExcludedData()
- splitPlotData()
- summary.classres()
- summary.ipls()
- summary.ldecomp()
- summary.mcrals()
- summary.mcrpure()
- summary.pca()
- summary.pcares()
- summary.pls()
- summary.plsda()
- summary.plsdares()
- summary.plsres()
- summary.randtest()
- summary.regcoeffs()
- summary.regmodel()
- summary.regres()
- summary.simca()
- summary.simcam()
- summary.simcamres()
- summary.simcares()
- unmix.mcrpure()
- vipscores()
R Codes
Selected R package: mdatools
Click on the specific functions, references or examples using the links on the left
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