afmult |
Multiple Factor Analysis |
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 |
coltable |
Color the cells of a data frame according to 2 threshold levels |
construct.axes |
Coordinates of individuals and illustrative individuals for PCA or MFA |
cpa |
Consumers' Preferences Analysis |
decat |
DEscription of CATegories |
gpa |
Generalised Procrustes Analysis |
graphinter |
Graphical display of the interaction between two qualitative variables |
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.don |
An example of Napping data |
napping.words |
An example of "illustrative" variables to enhance results from Napping data |
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 |
panelperf |
Panel's performance according to its capabilities to dicriminate between products |
pca |
Principal components analysis |
plotpanelist |
Plotpanelist |
pmfa |
Procrustean Multiple Factor Analysis (PMFA) |
prefpls |
Scatter plot and additional variables with quality of representation contour lines |
scalebypanelist |
Scale by panelist |
search.desc |
Search for discriminating descriptors |
search.desc.ktab |
Search for discriminating descriptors |
sensopanels |
Sensory profiles given by 7 panels |