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

Returns as many boxplots as there are categories for a given categorical variable of interest (in most cases, the
*product* variable). The boxplots are automatically generated for all the quantitative variables
(in our type of applications, variables are often sensory descriptors).

1 2 |

`donnee` |
a data frame |

`col.p` |
the position of the categorical variable of interest |

`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 boxplots per row (by default 2) |

`numc` |
the number of boxplots per column (by default 2) |

Missing values are ignored when forming boxplots.

F Husson [email protected]

S Le [email protected]

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) *The New S Language*. Wadsworth & Brooks/Cole.

Chambers, J. M., Cleveland, W. S., Kleiner, B. and Tukey, P. A. (1983) *Graphical Methods for Data Analysis*. Wadsworth & Brooks/Cole.

`boxplot`

which does the computation,
`bxp`

for the plotting and more examples; and `stripchart`

for an alternative (with small data sets).

1 2 | ```
data(chocolates)
boxprod(sensochoc, col.p = 4, firstvar = 5, numr = 2, numc = 2)
``` |

SensoMineR documentation built on Dec. 13, 2017, 9:04 a.m.

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