graphinter: Graphical display of the interaction between two qualitative...

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/graphinter.R

Description

This function is designed to display the interaction between two qualitative variables, in most cases the product and the session variables.

Usage

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graphinter(donnee, col.p, col.j, firstvar, lastvar=ncol(donnee), 
    numr = 2,numc = 2)

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 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 donnee)

numr

the number of graphs per row (by default 2)

numc

the number of graphs per column (by default 2)

Details

The data set must be balanced (or not unbalanced too much).

Value

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.

Author(s)

F Husson, S Le

References

P. Lea, T. Naes, M. Rodbotten. Analysis of variance for sensory data.
H. Sahai, M. I. Ageel. The analysis of variance.

See Also

aov

Examples

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## Not run: 
data(chocolates)
graphinter(sensochoc, col.p = 4, col.j = 2, firstvar = 5, lastvar = 12,
    numr = 1, numc = 1)

## End(Not run)

Example output

Loading required package: FactoMineR
dev.new(): using pdf(file="Rplots1.pdf")
dev.new(): using pdf(file="Rplots2.pdf")
dev.new(): using pdf(file="Rplots3.pdf")
dev.new(): using pdf(file="Rplots4.pdf")
dev.new(): using pdf(file="Rplots5.pdf")
dev.new(): using pdf(file="Rplots6.pdf")
$col.p
        CocoaA    MilkA   CocoaF    MilkF  Caramel  Vanilla Sweetness  Acidity
choc1 7.086207 3.586207 8.068966 1.568966 1.672414 1.103448  3.137931 4.655172
choc2 6.551724 4.000000 6.913793 2.379310 2.775862 1.810345  4.620690 3.137931
choc3 4.672414 6.051724 3.379310 7.706897 6.327586 3.672414  7.603448 1.568966
choc4 6.258621 4.103448 6.689655 2.586207 2.672414 2.120690  4.293103 3.931034
choc5 6.793103 4.172414 6.793103 3.120690 3.413793 1.793103  5.224138 3.086207
choc6 6.362069 4.568966 6.224138 3.362069 3.258621 1.913793  5.620690 2.672414

$col.j
, , 1

        CocoaA    MilkA   CocoaF    MilkF  Caramel  Vanilla Sweetness  Acidity
choc1 7.068966 3.620690 8.034483 1.413793 1.689655 1.000000  3.000000 4.724138
choc2 6.413793 3.896552 7.000000 2.379310 2.896552 1.965517  4.413793 3.137931
choc3 4.793103 5.827586 3.551724 7.517241 6.172414 3.310345  7.379310 1.689655
choc4 6.517241 4.000000 7.172414 1.896552 2.172414 1.862069  3.551724 3.896552
choc5 7.103448 3.793103 6.827586 3.068966 3.448276 1.551724  5.379310 3.241379
choc6 6.448276 4.620690 6.413793 3.344828 3.689655 2.000000  5.275862 2.827586

, , 2

        CocoaA    MilkA   CocoaF    MilkF  Caramel  Vanilla Sweetness  Acidity
choc1 7.103448 3.551724 8.103448 1.724138 1.655172 1.206897  3.275862 4.586207
choc2 6.689655 4.103448 6.827586 2.379310 2.655172 1.655172  4.827586 3.137931
choc3 4.551724 6.275862 3.206897 7.896552 6.482759 4.034483  7.827586 1.448276
choc4 6.000000 4.206897 6.206897 3.275862 3.172414 2.379310  5.034483 3.965517
choc5 6.482759 4.551724 6.758621 3.172414 3.379310 2.034483  5.068966 2.931034
choc6 6.275862 4.517241 6.034483 3.379310 2.827586 1.827586  5.965517 2.517241

SensoMineR documentation built on July 2, 2020, 1:56 a.m.