Package: SensoMineR 1.27

Francois Husson

SensoMineR: Sensory Data Analysis

Statistical Methods to Analyse Sensory Data. SensoMineR: A package for sensory data analysis. S. Le and F. Husson (2008).

Authors:Francois Husson, Sebastien Le, Marine Cadoret

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SensoMineR.pdf |SensoMineR.html
SensoMineR/json (API)

# Install 'SensoMineR' in R:
install.packages('SensoMineR', repos = c('https://husson.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/husson/sensominer/issues

Datasets:

On CRAN:

61 exports 2.72 score 103 dependencies 12 mentions 99 scripts 662 downloads

Last updated 8 months agofrom:0acab38385. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winNOTESep 12 2024
R-4.5-linuxNOTESep 12 2024
R-4.4-winOKSep 12 2024
R-4.4-macOKSep 12 2024
R-4.3-winOKSep 12 2024
R-4.3-macOKSep 12 2024

Exports:analyse_holosardiaveragetablebarrowbootboxprodCA_JARcalculate.averagecartocartoconsumercoltableConsensualWordsConsistencyIdealconstruct.axescpadecatfahstfasntfastfcpformat_holosgraphinterhistprodhsortplotIdMapIdMapConsumerindscalinteractJARmagicsortMultiIdealnappeplotnappesortplotoptimaldesignpaneliperfpanellipsepanellipse.sessionpanelmatchpanelperfplot.fahstplot.fasntplot.fastplot.IdMapplot.JARplot.WordCountAnaplotellipseplotellipseinterplotellipseinterhmfaplotpanelistpmfaprint.fahstprint.fasntprint.fastscalebypanelistsearch.descsimulationtriangle.designtriangle.pair.testtriangle.testWilliamsDesignWordCountAna

Dependencies:abindAlgDesignbackportsbase64encbootbroombslibcachemcarcarDatacliclustercolorspacecowplotcpp11crosstalkDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomefsgenericsggplot2ggrepelgluegtablegtoolshighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplyrpromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenreshape2rlangrmarkdownsassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Analyse Holos dataanalyse_holos
Automatic Research of DIvergences between scoresardi
Computes a (products,descriptors) matrixaveragetable
Barplot per row with respect to a set of quantitative variablesbarrow
Simulate virtual panels for several functionsboot
Boxplot per category with respect to a categorical variable and a set of quantitative variablesboxprod
Make a correspondence analysis on the JAR dataCA_JAR
Cardscards
Preference Mapping Techniquescarto
Preference Mapping Techniques and segmentation of consumerscartoconsumer
Chocolates datachocolates
Cocktail datacocktail
Color the cells of a data frame according to 4 threshold levelscoltable
Composition of the cocktails datacompo.cocktail
Consensual words for Sorting Task dataConsensualWords
Sensory and Hedonic consistency of the ideal dataConsistencyIdeal
Coordinates of individuals and illustrative individuals for PCA or MFAconstruct.axes
Consumers' Preferences Analysiscpa
Cream Ideal Datacream_id
Data description of the consumers who made the Ideal for the creamcream_signa
DEscription of CATegoriesdecat
Factorial Approach for Hierarchical Sorting Task datafahst
Factorial Approach for Sorting Napping Task datafasnt
Factorial Approach for Sorting Task datafast
Free choice profilingfcp
Format Holos dataformat_holos
Graphical display of the interaction between two qualitative variablesgraphinter
Cocktails hedonic scoreshedo.cocktail
Chocolates hedonic scoreshedochoc
Histogram for each descriptorhistprod
Plot consumers' hierarchical sortinghsortplot
Ideal Mapping (IdMap)IdMap
Ideal Mapping by categories (IdMapConsumer)IdMapConsumer
Construct the Indscal model for Napping data typeindscal
Estimation of interaction coefficientsinteract
JARJAR
Returns a sorted data matrixmagicsort
Single vs. Multiple IdealMultiIdeal
Plot panelists' tableclothenappeplot
Plot consumers' sorted tableclothnappesortplot
Napping datanapping
An example of Napping datanapping.don
An example of "illustrative" variables to enhance results from Napping datanapping.words
Construction of an optimal designoptimaldesign
Panelists' performance according to their capabilities to dicriminate between productspaneliperf
Confidence ellipses around products based on panelists descriptionspanellipse
Repetability of panelists descriptions studied by confidence ellipses around products per sessionpanellipse.session
Confidence ellipses around products based on panel descriptionspanelmatch
Panel's performance according to its capabilities to dicriminate between productspanelperf
Perfumeperfume
Perfume data obtained by free choice profilingperfume_fcp
Perfume Ideal Dataperfume_ideal
Make Factorial Approach for Hierarchical Sorting Task data (FAHST) graphsplot.fahst
Make Factorial Approach for Sorting Napping Task data (FASNT) graphsplot.fasnt
Make Factorial Approach for Sorting Task data (FAST) graphsplot.fast
Plot for the Ideal Mappingplot.IdMap
Make penalty graphplot.JAR
Word-Count based methods Analysis (WordCountAna) graphsplot.WordCountAna
Plotpanelistplotpanelist
Procrustean Multiple Factor Analysis (PMFA)pmfa
Print Factorial Approach for Hierarchical Sorting Task data (FAHST) resultsprint.fahst
Print Factorial Approach for Sorting Napping Task data (FASNT) resultsprint.fasnt
Print Factorial Approach for Sorting Task data (FAST) resultsprint.fast
Scale by panelistscalebypanelist
Search for discriminating descriptorssearch.desc
Sensory data for 16 cocktailssenso.cocktail
Sensory data for 6 chocolatessensochoc
Sensory profiles given by 7 panelssensopanels
Smoothiessmoothies
Construct a design for triangle teststriangle.design
Make a Triangle test for two productstriangle.pair.test
Make a Triangle test for a set of productstriangle.test
Videos data obtained with Holosvideos
Construct a Williams designWilliamsDesign
Word-Count based methods Analysis (WordCountAna)WordCountAna