SensMap: Sensory and Consumer Data Mapping

External preference mapping technique is commonly used in sensory analysis field to explain consumer preferences in function of sensory attributes of products Danzart (1998) (< sensorielle-3e-ed/depledt/descriptif-9782743009977>). The package provides map visualization with options in dimension reduction methods and prediction models from linear and non linear regressions. A smoothed version of the map performed using LOESS algorithm is available. A comparison approach of maps stability from different features before and after smoothing is provided. A 'shiny' application is included. It presents an easy GUI for the implemented functions as well as a comparative tool of fit models using several criteria. Basic analysis such as characterization of products, panelists and sessions likewise consumer segmentation are available.

Version: 0.2
Depends: R (≥ 3.0.0), stats, grDevices, graphics
Imports: ggfortify, doBy, lattice, FactoMineR, MCMCpack, factoextra, fields, ggdendro, glmulti, mgcv, plotly, shiny, ggplot2
Suggests: testthat
Published: 2017-09-25
Author: Ibtihel Rebhi [aut, cre], Rihab Boubakri [ctb], Dhafer Malouche [ctb]
Maintainer: Ibtihel Rebhi <ibtihel.rebhi at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: SensMap results


Reference manual: SensMap.pdf
Package source: SensMap_0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: not available
Old sources: SensMap archive


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