Package: SensMap 0.3
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) (<doi:10.1006/fstl.1998.0373>). 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.
Authors:
SensMap_0.3.tar.gz
SensMap_0.3.zip(r-4.7)SensMap_0.3.zip(r-4.6)SensMap_0.3.zip(r-4.5)
SensMap_0.3.tgz(r-4.6-any)SensMap_0.3.tgz(r-4.5-any)
SensMap_0.3.tar.gz(r-4.7-any)SensMap_0.3.tar.gz(r-4.6-any)
SensMap_0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SensMap/json (API)
| # Install 'SensMap' in R: |
| install.packages('SensMap', repos = c('https://ibtihelrebhi.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ibtihelrebhi/sensmap/issues
- hedo_biscuit - Consumer data
- sens_biscuit - Sensory data
Last updated from:9cd26c00b0. Checks:7 ERROR, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | ERROR | 226 | ||
| source / vignettes | OK | 239 | ||
| linux-release-x86_64 | ERROR | 225 | ||
| macos-release-arm64 | ERROR | 197 | ||
| macos-oldrel-arm64 | ERROR | 190 | ||
| windows-devel | ERROR | 206 | ||
| windows-release | ERROR | 139 | ||
| windows-oldrel | ERROR | 132 | ||
| wasm-release | OK | 153 |
Exports:PrefMapSensMapUISmoothMapStabMap
Dependencies:abindaskpassbackportsbase64encbootbroombslibcachemcarcarDatacliclustercodacolorspacecommonmarkcorrplotcowplotcpp11crosstalkcurldata.tabledendextendDerivdigestdoBydotCall64dplyrDTellipseemmeansestimabilityevaluatefactoextraFactoMineRfarverfastmapfieldsflashClustfontawesomeforecastFormulafracdifffsgenericsggdendroggfortifyggplot2ggpubrggrepelggsciggsignifglmultigluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvhttrirlbaisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4lmtestmagrittrmapsMASSMatrixMatrixModelsmcmcMCMCpackmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmvtnormnlmenloptrnnetnumDerivopensslotelpbkrtestpillarpkgconfigplotlypolynompromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrJavarlangrmarkdownrstatixS7sassscalesscatterplot3dshinysourcetoolsspamSparseMstringistringrsurvivalsystibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisviridisLitewithrxfunxtableyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Consumer data | hedo_biscuit |
| External Prefernce Mapping tools | PrefMap |
| Sensory data | sens_biscuit |
| Graphical User Interface for SensMap package | SensMapUI |
| Smoothed version of External Preference Mapping by LOESS | SmoothMap |
| Evaluation of External Prefernce mapping stability | StabMap |
