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SensoMineR

You can see the Website dedicated to SensoMineR (link)

How do you install the latest version of SensoMineR available on GitHub?

if (!require("devtools")) install.packages("devtools")
library(devtools)
install_github("husson/SensoMineR")

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Version

Install

install.packages('SensoMineR')

Monthly Downloads

800

Version

1.27

License

GPL (>= 2)

Maintainer

Francois Husson

Last Published

November 28th, 2023

Functions in SensoMineR (1.27)

calculate.average

Calcul de moyenne

Data description of the consumers who made the Ideal for the cream

Computes a (products,descriptors) matrix

Consumers' Preferences Analysis

Chocolates data

Automatic Research of DIvergences between scores

Cream Ideal Data

Factorial Approach for Hierarchical Sorting Task data

Preference Mapping Techniques and segmentation of consumers

Preference Mapping Techniques

Boxplot per category with respect to a categorical variable and a set of quantitative variables

Barplot per row with respect to a set of quantitative variables

Histogram for each descriptor

Plot consumers' hierarchical sorting

Cocktails hedonic scores

Confidence ellipses around products based on panelists descriptions

DEscription of CATegories

Factorial Approach for Sorting Task data

panellipse.session

Repetability of panelists descriptions studied by confidence ellipses around products per session

Free choice profiling

Chocolates hedonic scores

Returns a sorted data matrix

Plot consumers' sorted tablecloth

Plot panelists' tableclothe

Factorial Approach for Sorting Napping Task data

plot.WordCountAna

Word-Count based methods Analysis (WordCountAna) graphs

Make penalty graph

Make Factorial Approach for Hierarchical Sorting Task data (FAHST) graphs

plotellipseinter

Plotellipseinter

Color the cells of a data frame according to 4 threshold levels

plotellipseinterhmfa

Plotellipseinterhmfa

Print Factorial Approach for Sorting Napping Task data (FASNT) results

Print Factorial Approach for Hierarchical Sorting Task data (FAHST) results

Search for discriminating descriptors

triangle.design

Construct a design for triangle tests

triangle.pair.test

Make a Triangle test for two products

Make Factorial Approach for Sorting Napping Task data (FASNT) graphs

Simulate virtual panels

Simulate virtual panels for several functions

Confidence ellipses around products based on panel descriptions

Procrustean Multiple Factor Analysis (PMFA)

Make Factorial Approach for Sorting Task data (FAST) graphs

Construct the Indscal model for Napping data type

Sensory data for 16 cocktails

Panel's performance according to its capabilities to dicriminate between products

Videos data obtained with Holos

Coordinates of individuals and illustrative individuals for PCA or MFA

Estimation of interaction coefficients

Sensory data for 6 chocolates

An example of Napping data

Perfume data obtained by free choice profiling

An example of "illustrative" variables to enhance results from Napping data

Print Factorial Approach for Sorting Task data (FAST) results

Perfume Ideal Data

Composition of the cocktails data

Sensory profiles given by 7 panels

Format Holos data

Make a Triangle test for a set of products

scalebypanelist

Scale by panelist

Graphical display of the interaction between two qualitative variables

Construction of an optimal design

Panelists' performance according to their capabilities to dicriminate between products

Plot for the Ideal Mapping

Plot confidence ellipses

Single vs. Multiple Ideal

Word-Count based methods Analysis (WordCountAna)

Ideal Mapping by categories (IdMapConsumer)

ConsistencyIdeal

Sensory and Hedonic consistency of the ideal data

Ideal Mapping (IdMap)

Make a correspondence analysis on the JAR data

ConsensualWords

Consensual words for Sorting Task data

Construct a Williams design

Analyse Holos data