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SensoMineR (version 1.20)
Sensory data analysis with R
Description
an R package for analysing sensory data
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Install
install.packages('SensoMineR')
Monthly Downloads
1,131
Version
1.20
License
GPL (>= 2)
Maintainer
Francois Husson Julie Josse josseagrocampusouestfr
Last Published
April 13th, 2014
Functions in SensoMineR (1.20)
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MultiIdeal
Single vs. Multiple Ideal
IdMap
Ideal Mapping (IdMap)
napping.don
An example of Napping data
carto
Preference Mapping Techniques
ardi
Automatic Research of DIvergences between scores
plot.WordCountAna
Word-Count based methods Analysis (WordCountAna) graphs
graphinter
Graphical display of the interaction between two qualitative variables
panellipse
Confidence ellipses around products based on panelists descriptions
chocolates
Chocolates data
WilliamsDesign
Construct a Williams design
paneliperf
Panelists' performance according to their capabilities to dicriminate between products
boxprod
Boxplot per category with respect to a categorical variable and a set of quantitative variables
construct.axes
Coordinates of individuals and illustrative individuals for PCA or MFA
ConsistencyIdeal
Sensory and Hedonic consistency of the ideal data
cocktail
Cocktail data
panellipse.session
Repetability of panelists descriptions studied by confidence ellipses around products per session
print.fasnt
Print Factorial Approach for Sorting Napping Task data (FASNT) results
simulation
Simulate virtual panels
compo.cocktail
Composition of the cocktails data
plotellipseinter
Plotellipseinter
triangle.pair.test
Make a Triangle test for two products
boot
Simulate virtual panels for several functions
perfume_ideal
Perfume Ideal Data
histprod
Histogram for each descriptor
print.fast
Print Factorial Approach for Sorting Task data (FAST) results
calculate.average
Calcul de moyenne
perfume_fcp
Perfume data obtained by free choice profiling
barrow
Barplot per row with respect to a set of quantitative variables
perfume
Perfume
scalebypanelist
Scale by panelist
cartoconsumer
Preference Mapping Techniques and segmentation of consumers
fast
Factorial Approach for Sorting Task data
averagetable
Computes a (products,descriptors) matrix
cpa
Consumers' Preferences Analysis
cream_signa
Data description of the consumers who made the Ideal for the cream
hedo.cocktail
Cocktails hedonic scores
smoothies
Smoothies
hedochoc
Chocolates hedonic scores
panelmatch
Confidence ellipses around products based on panel descriptions
search.desc
Search for discriminating descriptors
senso.cocktail
Sensory data for 16 cocktails
plot.fasnt
Make Factorial Approach for Sorting Napping Task data (FASNT) graphs
WordCountAna
Word-Count based methods Analysis (WordCountAna)
plot.IdMap
Plot for the Ideal Mapping
plot.fast
Make Factorial Approach for Sorting Task data (FAST) graphs
IdMapConsumer
Ideal Mapping by categories (IdMapConsumer)
fcp
Free choice profiling
nappesortplot
Plot consumers' sorted tablecloth
triangle.design
Construct a design for triangle tests
magicsort
Returns a sorted data matrix
coltable
Color the cells of a data frame according to 4 threshold levels
plotellipse
Plot confidence ellipses
plotellipseinterhmfa
Plotellipseinterhmfa
optimaldesign
Construction of an optimal design
napping.words
An example of "illustrative" variables to enhance results from Napping data
nappeplot
Plot panelists' tableclothe
sensochoc
Sensory data for 6 chocolates
triangle.test
Make a Triangle test for a set of products
interact
Estimation of interaction coefficients
indscal
Construct the Indscal model for Napping data type
sensopanels
Sensory profiles given by 7 panels
cream_id
Cream Ideal Data
decat
DEscription of CATegories
napping
Napping data
pmfa
Procrustean Multiple Factor Analysis (PMFA)
panelperf
Panel's performance according to its capabilities to dicriminate between products
plotpanelist
Plotpanelist