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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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Version

Install

install.packages('SensoMineR')

Monthly Downloads

606

Version

1.20

License

GPL (>= 2)

Maintainer

Francois Husson Julie Josse josseagrocampusouestfr

Last Published

April 13th, 2014

Functions in SensoMineR (1.20)

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