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| ardi | Automatic Research of DIvergences between scores |
| averagetable | Computes a (products,descriptors) matrix |
| barrow | Barplot per row with respect to a set of quantitative variables |
| boxprod | Boxplot per category with respect to a categorical variable and a set of quantitative variables |
| carto | Preference Mapping Techniques |
| chocolates | Chocolates data |
| cocktail | Cocktail data |
| coltable | Color the cells of a data frame according to 4 threshold levels |
| compo.cocktail | Composition of the cocktails data |
| construct.axes | Coordinates of individuals and illustrative individuals for PCA or MFA |
| cpa | Consumers' Preferences Analysis |
| decat | DEscription of CATegories |
| fast | Factorial Approach for Sorting Task data |
| graphinter | Graphical display of the interaction between two qualitative variables |
| hedo.cocktail | Cocktails hedonic scores |
| hedochoc | Chocolates hedonic scores |
| histprod | Histogram for each descriptor |
| indscal | Construct the Indscal model for Napping data type |
| interact | Estimation of interaction coefficients |
| magicsort | Returns a sorted data matrix |
| nappeplot | Plot panelists' tableclothe |
| napping | Napping data |
| napping.don | An example of Napping data |
| napping.words | An example of "illustrative" variables to enhance results from Napping data |
| optimaldesign | Construction of an optimal design |
| paneliperf | Panelists' performance according to their capabilities to dicriminate between products |
| panellipse | Confidence ellipses around products based on panelists descriptions |
| panellipse.session | Repetability of panelists descriptions studied by confidence ellipses around products per session |
| panelmatch | Confidence ellipses around products based on panel descriptions |
| panelperf | Panel's performance according to its capabilities to dicriminate between products |
| perfume | Perfume |
| plot.fast | Make Factorial Approach for Sorting Task data (FAST) graphs |
| plotpanelist | Plotpanelist |
| pmfa | Procrustean Multiple Factor Analysis (PMFA) |
| print.fast | Print Factorial Approach for Sorting Task data (FAST) results |
| scalebypanelist | Scale by panelist |
| search.desc | Search for discriminating descriptors |
| senso.cocktail | Sensory data for 16 cocktails |
| sensochoc | Sensory data for 6 chocolates |
| sensopanels | Sensory profiles given by 7 panels |
| triangle.design | Construct a design for triangle tests |
| triangle.pair.test | Make a Triangle test for two products |
| triangle.test | Make a Triangle test for a set of products |