histprod: Histogram for each descriptor

In SensoMineR: Sensory data analysis with R

Description

Computes automatically histograms for a set of quantitative variables.

Usage

histprod(donnee, firstvar, lastvar = ncol(donnee), numr = 2, 
    numc = 2, adjust = 1)

Arguments

donnee	a data frame
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 histograms per row (by default 2)
numc	the number of histograms per column (by default 2)
adjust	the bandwidth used is actually 'adjust*bw'. This makes it easy to specify values like "half the default" bandwidth.

Details

Displays histograms with a common Y-axis as well as the local estimator of the density for each descriptor, hence the adjust parameter to fill in. Displays also the normal distribution with mean and variance the respective values estimated for each descriptor.

Author(s)

S<e9>bastien L<ea>

See Also

density, hist

Examples

data(chocolates)
histprod(sensochoc, firstvar = 5, lastvar = 10)

SensoMineR documentation built on May 2, 2019, 5:56 p.m.