Other packages > Find by keyword >

mdatools  

Multivariate Data Analysis for Chemometrics
View on CRAN: Click here


Download and install mdatools package within the R console
Install from CRAN:
install.packages("mdatools")

Install from Github:
library("remotes")
install_github("cran/mdatools")

Install by package version:
library("remotes")
install_version("mdatools", "0.14.2")



Attach the package and use:
library("mdatools")
Maintained by
Sergey Kucheryavskiy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-04-14
Latest Update: 2023-08-12
Description:
Projection based methods for preprocessing, exploring and analysis of multivariate data used in chemometrics. S. Kucheryavskiy (2020) .
How to cite:
Sergey Kucheryavskiy (2014). mdatools: Multivariate Data Analysis for Chemometrics. R package version 0.14.2, https://cran.r-project.org/web/packages/mdatools. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.5.1 (2014-04-14 14:13), 0.5.3 (2014-04-27 01:11), 0.6.0 (2015-01-19 10:23), 0.7.0 (2015-11-30 21:23), 0.8.2 (2017-01-30 12:36), 0.9.1 (2018-07-06 19:10), 0.9.4 (2019-05-24 15:20), 0.10.1 (2020-03-01 18:50), 0.10.3 (2020-03-28 20:00), 0.11.0 (2020-07-15 15:30), 0.11.1 (2020-07-23 14:10), 0.11.2 (2020-10-22 23:00), 0.11.3 (2021-01-22 11:50), 0.11.4 (2021-04-23 19:20), 0.11.5 (2021-04-30 10:50), 0.12.0 (2021-09-13 09:40), 0.13.0 (2022-07-14 10:20), 0.13.1 (2022-11-09 16:50), 0.14.0 (2023-03-28 20:30), 0.14.1 (2023-08-12 19:10)
Other packages that cited mdatools R package
View mdatools citation profile
Other R packages that mdatools depends, imports, suggests or enhances
Complete documentation for mdatools
Functions, R codes and Examples using the mdatools R package
Some associated 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 . constraintUnimod . constraints.list . 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 . getVIPScores . getVIPScores.pls . getVariance.mcr . hotelling.crit . hotelling.prob . imshow . ipls.backward . ipls.forward . ipls . jm.crit . jm.prob . ldecomp.getDistances . ldecomp.getLimParams . ldecomp.getLimitsCoordinates . 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 . plotRMSE.ipls . plotRMSE . plotRMSE.regmodel . plotRMSE.regres . plotRMSERatio . plotRMSERatio.regmodel . plotRegcoeffs . plotRegcoeffs.regmodel . plotRegressionLine . plotResiduals.ldecomp . plotResiduals . plotResiduals.pca . plotResiduals.regres . plotScatter . plotScores.ldecomp . plotScores . plotScores.pca . plotSelection.ipls . plotSelection . plotSelectivityRatio . plotSelectivityRatio.pls . plotSensitivity.classmodel . plotSensitivity.classres . plotSensitivity . plotSpecificity.classmodel . plotSpecificity.classres . plotSpecificity . plotSpectra.mcr . plotSpectra . plotT2DoF . plotVIPScores . plotVIPScores.pls . plotVariance.ldecomp . plotVariance.mcr . plotVariance . plotVariance.pca . plotVariance.pls . plotVariance.plsres . 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 . plotseries . pls.cal . pls.getLimitsCoordinates . pls.getZLimits . pls.getpredictions . pls.getxdecomp . pls.getxscores . pls.getydecomp . pls.getyscores . 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 . prepCalData . preparePlotData . 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 . 
Some associated R codes: classmodel.R . classres.R . constraints.R . crossval.R . defaults.R . ipls.R . ldecomp.R . mcr.R . mcrals.R . mcrpure.R . mdaplot.R . mdaplotg.R . misc.R . pca.R . pcares.R . plotseries.R . pls.R . plsda.R . plsdares.R . plsres.R . prep.R . randtest.R . regcoeffs.R . regmodel.R . regres.R . simca.R . simcam.R . simcamres.R . simcares.R .  Full mdatools package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA