This function is designed to display the interaction between two qualitative variables, in most cases the product and the session variables.
1 2  graphinter(donnee, col.p, col.j, firstvar, lastvar=ncol(donnee),
numr = 2,numc = 2)

donnee 
a data frame made up of at least two qualitative variables (product, panelist) and a set of quantitative variables (sensory descriptors) 
col.p 
the position of one categorical variables of interest (the product variable) 
col.j 
the position of one categorical variables of interest (the session variable) 
firstvar 
the position of the first endogenous variable 
lastvar 
the position of the last endogenous variable (by default the last column of 
numr 
the number of graphs per row (by default 2) 
numc 
the number of graphs per column (by default 2) 
The data set must be balanced (or not unbalanced too much).
If the variables of interest are the product and the session variables, a list containing the following components:
prod 
a data frame of dimension (p,q), the means over the panelists and the sessions for the p products and the q sensory descriptors 
seance 
as many matrices of dimension (p,q) as there are sessions, the means over the panelists for the p products, the q sensory descriptors and for each session 
The graphical display of the interaction for each sensory descriptor.
F Husson, S Le
P. Lea, T. Naes, M. Rodbotten. Analysis of variance for sensory data.
H. Sahai, M. I. Ageel. The analysis of variance.
aov
1 2 3 4 5 6  ## Not run:
data(chocolates)
graphinter(sensochoc, col.p = 4, col.j = 2, firstvar = 5, lastvar = 12,
numr = 1, numc = 1)
## End(Not run)

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