search.desc: Search for discriminating descriptors
In SensoMineR: Sensory data analysis with R

Description Usage Arguments Value Author(s) Examples

This function is designed to select the significant descriptors in a data frame

1 2	search.desc(matrice, col.j, col.p, firstvar, lastvar = ncol(matrice), level = 0.5)

`matrice`	a data frame made up of at least two qualitative variables (product, panelist) and a set of quantitative variables (sensory descriptors)
`col.j`	the position of the categorical variable which make the variability, panelist for sensory studies. The value of `col.j` can also be NULL if no categorical variables make the variability.
`col.p`	the position of the categorical variable of interest, product for sensory studies
`firstvar`	the position of the first endogenous variable
`lastvar`	the position of the last endogenous variable (by default the last column of `donnee`
`level`	the threshold (P-value) below which variables are considered as discriminating for the following analysis of variance model: `descriptor=col.p+col.j`

Returns a data frame with all the qualitative variables and only discriminating variables

Fran<e7>ois Husson

data(chocolates)
## In this example, all the descriptos are discriminated
interesting.desc <- search.desc(sensochoc, col.j = 1, col.p = 4, 
    firstvar = 5, level = 0.5)