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SensoMineR: the free software to perform …

SensoMineR : the free software to performsensory analysisFran ois Husson & S bastien L A free software , more and more used in all the world Easy to install on Windows, Linux, Mac With a lot of libraries (more than 1700 libraries) Continuous development of the software , new methods and methodologies immediately available Graphs and outputs easy to export Possibility to make programs and to use pre-define functions Available with a Graphical User Interface Available from Excel (or Openoffice)What is? To have a software to perform sensory analysis To make available the most classical methods to analyse sensory data To make available the new methodologies developed in sensory analysis For teaching, research and development Free and available for all students in their int

To have a software to perform sensory analysis To make available the most classical methods to analyse sensory data To make available the …

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Transcription of SensoMineR: the free software to perform …

1 SensoMineR : the free software to performsensory analysisFran ois Husson & S bastien L A free software , more and more used in all the world Easy to install on Windows, Linux, Mac With a lot of libraries (more than 1700 libraries) Continuous development of the software , new methods and methodologies immediately available Graphs and outputs easy to export Possibility to make programs and to use pre-define functions Available with a Graphical User Interface Available from Excel (or Openoffice)What is? To have a software to perform sensory analysis To make available the most classical methods to analyse sensory data To make available the new methodologies developed in sensory analysis For teaching, research and development Free and available for all students in their internships or their jobs.

2 And all people interested by sensometry Easy to use with a GUI or from ExcelWhy? Characterizing products Relating sensory data and instrumental data Assessing panel performances Mapping consumers preferences Holistic approaches Triangle tests PCA Correspondence Analysis (and Multiple CA) Multiple Factor AnalysisuseComparing sensory profiles provided by several panels: application to a cross-culturalstudy 8 biscuits (4 French, 4 Pakistani) 2 panels one French one PakistaniPakistanibiscuitsSooperGalaCand i LiteMilcoPetit BrunPetit BeurrePalet BretonSpritsFrenchbiscuitsThe data 12 panelists Training: 2 sessions (16+7) descriptors 1 replication 11 panelists Training.

3 6 sessions 16 descriptors No replicationFrenchPakistaniThe data Have a quick look at each panel viaits respective products space from a one-dimensional point of view from a multi-dimensional point of view and performance at a panel level panelist level Immerse the two products spaces into one in order to compare them with Multiple Factor Analysis, Indcal model, Procrustes analysis by taking into account the individual variabilityHow to compare the two panels? Have a quick look at each panel viaits respective products space from a one-dimensional point of view from a multi-dimensional point of view and performance at a panel level panelist level Immerse the two products spaces into one in order to compare them with Multiple Factor Analysis, Indcal model, Procrustes analysis by taking into account the individual variabilityHow to compare the two panels?

4 The Pakistani dataRankPanelistProductColorThicknessO_E ggO_MilkO_ButterO_VanillaSoftness1 ASprits0100010052 APetit_Beurre1000000103 ACandi_Lite51010010104 APalet_Breton01000101055 AMilco01010100006 APetit_Brun00010010107 AGala05010010108 ASooper0010101010101 BSprits810212452 BPetit_Beurre960631043 BCandi_Lite844201084 BPalet_Breton510014315 BMilco74730026 BPetit_Brun540301057 BGala140221038 BSooper63971351 CSprits510565542 CPetit_Beurre81000033 CCandi_Lite73995564 CPalet_Breton710231235 CMilco73882206 CPetit_Brun74442227 CGala02000418 CSooper21778731 DSprits810080002 DPetit_Beurre94000403 DCandi_Lite6582000 The Pakistani dataCandi_LiteGalaMilcoPetit_BeurreSoope rSprits246810 ColorCandi_LiteGalaMilcoPetit_BeurreSoop erSprits246810 ThicknessCandi_LiteGalaMilcoPetit_Beurre SooperSprits02468O_EggCandi_LiteGalaMilc oPetit_BeurreSooperSprits0246810O_Milk Have a quick look at each panel via its respective products space from a one-dimensional point of

5 ViewColorThicknessCrunchyT_EggO_EggO_But terCrumblyT_MilkO_MilkO_VanillaT_ButterS oftnessT_VanillaSweetnessSaltyPastyP-val ue associated with the F-test of the product effet for each a one-dimensional point of viewDefine your anova modelfrom a one-dimensional point of 7273 . 0918. 1823 . 451. 3641. 361. 4552242. 274. 3642 . 2733. 09113. 824. 0914. 097.. 85841. 452. 09123. 0012 . 691. 274.. 0034. 909 CrumblyThickness PastySaltyO_Butter O_Egg T_Egg T_Butter ColorO_Milk T_Milk 7273.

6 0918. 1823 . 451. 3641. 361. 4552242. 274. 3642 . 2733. 09113. 824. 0914. 097.. 85841. 452. 09123. 0012 . 691. 274.. 0034. 909 CrumblyThickness PastySaltyO_Butter O_Egg T_Egg T_Butter ColorO_Milk T_Milk SweetnessT_VanillaO_VanillaCrunchySoftne ssfrom a one-dimensional point of viewC olorT hicknesO_EggO_MilkO_ButterO_VanillSoftne ssCrumblyCrunchyPastySaltySweetnesT_EggT _MilkT_ButterT_VanillCandi_Lite-6-4-2024 6 ColorT hicknesO_EggO_MilkO_ButterO_VanillSoftne ssCrumblyC runchyPastySaltySweetnesT_EggT _MilkT _ButterT_VanillGala-6-4-20246 ColorT hic knesO_EggO_MilkO_ButterO_VanillSoftnessC r

7 UmblyCrunchyPastySaltySweetnesT_EggT_Mil kT _ButterT _VanillMilco-6-4-20246 ColorThic knesO_EggO_MilkO_ButterO_VanillSoftnessC rumblyCr unchyPastySaltySweetnesT _EggT_MilkT_ButterT_VanillPalet_Breton-6 -4-20246 Col orT hicknesO _EggO_MilkO_ButterO _VanillSoftnessCrumblyCrunc hyPas tySaltySweetnesT_EggT_MilkT_ButterT_Vani llPetit_Beurre-6-4-20246 Col orT hicknesO_EggO_MilkO _ButterO _VanillSoftnessCrumblyC runchyPastySaltySweetnesT_EggT _MilkT _ButterT_VanillPetit_Brun-6-4-20246 ColorT hicknesO _EggO_MilkO_ButterO _VanillSoftnessCr umblyCrunc hyPas tySaltySweetnesT_EggT_MilkT _ButterT _VanillSooper-6-4-20246 ColorThicknesO_EggO_MilkO _ButterO _VanillSoftnessC rumblyCr unchyPastySaltySweetnesT _EggT_MilkT_ButterT_VanillSprits-6-4-202 46C olorT hicknesO_EggO_MilkO_ButterO_VanillSoftne ssCrumblyCrunchyPastySaltySweetnesT_EggT _MilkT_ButterT_VanillCandi_Lite-6-4-2024 6 ColorT hicknesO_EggO_MilkO_ButterO_VanillSoftne ssCrumblyC runchyPastySaltySweetnesT_EggT _MilkT _ButterT_VanillGala-6-4-20246 ColorT hic

8 KnesO_EggO_MilkO_ButterO_VanillSoftnessC r umblyCrunchyPastySaltySweetnesT_EggT_Mil kT _ButterT _VanillMilco-6-4-20246 ColorThic knesO_EggO_MilkO_ButterO_VanillSoftnessC rumblyCr unchyPastySaltySweetnesT _EggT_MilkT_ButterT_VanillPalet_Breton-6 -4-20246 Col orT hicknesO _EggO_MilkO_ButterO _VanillSoftnessCrumblyCrunc hyPas tySaltySweetnesT_EggT_MilkT_ButterT_Vani llPetit_Beurre-6-4-20246 Col orT hicknesO_EggO_MilkO _ButterO _VanillSoftnessCrumblyC runchyPastySaltySweetnesT_EggT _MilkT _ButterT_VanillPetit_Brun-6-4-20246 ColorT hicknesO _EggO_MilkO_ButterO _VanillSoftnessCr umblyCrunc hyPas tySaltySweetnesT_EggT_MilkT _ButterT _VanillSooper-6-4-20246 ColorThicknesO_EggO_MilkO _ButterO _VanillSoftnessC rumblyCr unchyPastySaltySweetnesT _EggT_MilkT_ButterT_VanillSprits-6-4-202 46from a one-dimensional point of view Have a quick look at each panel via its respective products space from a multi-dimensional point of viewAverage data tablep

9 KPanelistProductColorThicknessO_EggO_Mil kO_ButterO_VanillaASprits01000100 APetit_Beurre1000000 ACandi_Lite51010010 APalet_Breton010001010 AMilco010101000 APetit_Brun00010010 AGala05010010 ASooper0010101010 BSprits8102124 BPetit_Beurre9606310 BCandi_Lite8442010 BPalet_Breton5100143 BMilco747300 BPetit_Brun5403010 BGala1402210 BSooper639713 CSprits5105655 CPetit_Beurre810000 CCandi_Lite739955 CPalet_Breton7102312 CMilco738822 CPetit_Brun744422 CGala020004 CSooper217787 DSprits8100800 DPetit_Beurre940004 DCandi_Lite658200 DPalet_Breton580080 DMilco877000 DPetit_Brun530050 DGala165000 DSooper7401000 ESprits10105380 EPetit_Beurre1045509 ProductsAttributesfrom a multi-dimensional point of viewfrom a multi-dimensional point of view-505-505 Dim 1 ( )Dim 2 ( )Candi_LiteGalaMilcoPalet_BretonPetit_Be urrePetit_BrunSooperSpritsAverage data tablep kColorThicknessO_EggO_MilkO_ButterO_Vani llaSoftnessCrumblyCrunchyPastySaltySweet nessT_EggT_MilkT_ButterT_VanillaIndividu al scores(p j)

10 KAverage data tablep kp productsk descriptorsj panelistsfrom a multi-dimensional point of viewCandi_LiteGalaMilcoPalet_BretonPetit _BeurrePetit_BrunSooperSpritsfrom a multi-dimensional point of viewAverage data table for virtual panel 1 Average data tablep kMilcoCreate virtual panels from the true panel to draw confidence ell


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