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**SensoMineR**: Sensory data analysis with R**perfume_fcp**: Perfume data obtained by free choice profiling

# Perfume data obtained by free choice profiling

### Description

The data used here refer to 12 luxury perfumes described by 6 experts.

### Usage

1 |

### Format

A data frame with 12 rows (the number of perfumes) and 47 columns.

### Examples

1 2 3 4 5 | ```
## Not run:
data(perfume_fcp)
res <- fcp(perfume_fcp, group = c(12,7,7,7,6,8))
## End(Not run)
``` |

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