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

SensoMineR_1.27.tar.gz
SensoMineR_1.27.zip(r-4.7)SensoMineR_1.27.zip(r-4.6)SensoMineR_1.27.zip(r-4.5)
SensoMineR_1.27.tgz(r-4.6-any)SensoMineR_1.27.tgz(r-4.5-any)
SensoMineR_1.27.tar.gz(r-4.7-any)SensoMineR_1.27.tar.gz(r-4.6-any)
SensoMineR_1.27.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SensoMineR/json (API)

# Install 'SensoMineR' in R:

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

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

Datasets:

cards - Cards
compo.cocktail - Composition of the cocktails data
cream_id - Cream Ideal Data
cream_signa - Data description of the consumers who made the Ideal for the cream
hedo.cocktail - Cocktails hedonic scores
hedochoc - Chocolates hedonic scores
hedochoc - Chocolates hedonic scores
JAR - JAR
napping.don - An example of Napping data
napping.words - An example of "illustrative" variables to enhance results from Napping data
perfume - Perfume
perfume_fcp - Perfume data obtained by free choice profiling
perfume_ideal - Perfume Ideal Data
senso.cocktail - Sensory data for 16 cocktails
sensochoc - Sensory data for 6 chocolates
sensopanels - Sensory profiles given by 7 panels
smoothies - Smoothies
videos - Videos data obtained with Holos

On CRAN:

5.74 score 3 packages 122 scripts 659 downloads 12 mentions 61 exports 114 dependencies

Last updated from:0acab38385. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	210
source / vignettes	OK	208
linux-release-x86_64	NOTE	203
macos-release-arm64	NOTE	152
macos-oldrel-arm64	NOTE	137
windows-devel	NOTE	174
windows-release	NOTE	142
windows-oldrel	NOTE	151
wasm-release	OK	145

Exports:analyse_holos ardi averagetable barrow boot boxprod CA_JAR calculate.average carto cartoconsumer coltable ConsensualWords ConsistencyIdeal construct.axes cpa decat fahst fasnt fast fcp format_holos graphinter histprod hsortplot IdMap IdMapConsumer indscal interact JAR magicsort MultiIdeal nappeplot nappesortplot optimaldesign paneliperf panellipse panellipse.session panelmatch panelperf plot.fahst plot.fasnt plot.fast plot.IdMap plot.JAR plot.WordCountAna plotellipse plotellipseinter plotellipseinterhmfa plotpanelist pmfa print.fahst print.fasnt print.fast scalebypanelist search.desc simulation triangle.design triangle.pair.test triangle.test WilliamsDesign WordCountAna

Dependencies:abind AlgDesign backports base64enc boot broom bslib cachem car carData cli cluster colorspace cowplot cpp11 crosstalk Deriv digest doBy dplyr DT ellipse emmeans estimability evaluate FactoMineR farver fastmap flashClust fontawesome forecast Formula fracdiff fs generics ggplot2 ggrepel glue gtable gtools highr htmltools htmlwidgets irlba isoband jquerylib jsonlite KernSmooth knitr labeling later lattice lazyeval leaps lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime minqa modelr multcompView mvtnorm nlme nloptr nnet numDeriv otel pbkrtest pillar pkgconfig plyr promises purrr quantreg R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas reshape2 rlang rmarkdown S7 sass scales scatterplot3d SparseM stringi stringr survival tibble tidyr tidyselect timeDate tinytex urca utf8 vctrs viridisLite withr xfun yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

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