interact {SensoMineR} | R Documentation |
Estimation of interaction coefficients
Description
Computes automatically the interaction coefficients between two quantitative variables
col.p
and col.j
for the following model:
"~col.p+col.j+col.p:col.j"
.
Usage
interact(donnee, col.p, col.j, firstvar, lastvar = ncol(donnee))
Arguments
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 the product effect for instance |
col.j |
the position of the panelist effect for instance |
firstvar |
the position of the first endogenous variable |
lastvar |
the position of the last endogenous variable (by default the last column of |
Details
In most cases col.p
represents the product effect, col.j
represents the panelist effect,
and the variables of interest are the sensory descriptors. The model considered is the following one:
"~Product+Panelist+Product:Panelist"
.
Data must be complete (but not necessarily balanced).
Value
Returns an array of dimension (p,j,k), where p is the number of products, j the number of panelists
and k the number of sensory descriptors.
The entries of this array are the interaction coefficients between a panelist and a product for a given descriptor.
For each sensory descriptor, returns a graph where each (panelist,product) interaction coefficient is displayed,
a graph where the contribution to the (panelist,product) interaction coefficient by product is displayed,
a graph where the contribution to the (panelist,product) interaction coefficient by panelist is displayed.
Author(s)
Francois Husson
See Also
Examples
## Not run:
data(chocolates)
resinteract=interact(sensochoc, col.p = 4, col.j = 1, firstvar = 5)
## End(Not run)