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-4.5)SensMap_0.3.zip(r-4.4)SensMap_0.3.zip(r-4.3)
SensMap_0.3.tgz(r-4.5-any)SensMap_0.3.tgz(r-4.4-any)SensMap_0.3.tgz(r-4.3-any)
SensMap_0.3.tar.gz(r-4.5-noble)SensMap_0.3.tar.gz(r-4.4-noble)
SensMap_0.3.tgz(r-4.4-emscripten)SensMap_0.3.tgz(r-4.3-emscripten)
SensMap.pdf |SensMap.html✨
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 8 years agofrom:9cd26c00b0. Checks:1 OK, 8 ERROR. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 25 2025 |
| R-4.5-win | ERROR | Mar 25 2025 |
| R-4.5-mac | ERROR | Mar 25 2025 |
| R-4.5-linux | ERROR | Mar 25 2025 |
| R-4.4-win | ERROR | Mar 25 2025 |
| R-4.4-mac | ERROR | Mar 25 2025 |
| R-4.4-linux | ERROR | Mar 25 2025 |
| R-4.3-win | ERROR | Mar 25 2025 |
| R-4.3-mac | ERROR | Mar 25 2025 |
Exports:PrefMapSensMapUISmoothMapStabMap
Dependencies:abindaskpassbackportsbase64encbootbroombslibcachemcarcarDatacliclustercodacolorspacecommonmarkcorrplotcowplotcpp11crayoncrosstalkcurldata.tabledendextendDerivdigestdoBydotCall64dplyrDTellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapfieldsflashClustfontawesomeFormulafsgenericsggdendroggfortifyggplot2ggpubrggrepelggsciggsignifglmultigluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrmapsMASSMatrixMatrixModelsmcmcMCMCpackmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigplotlyplyrpolynompromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasreshape2rJavarlangrmarkdownrstatixsassscalesscatterplot3dshinysourcetoolsspamSparseMstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunxtableyaml
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 |
