monprofile: monodic profiling

In laynelv/isenso: intelligent sensory tests: a package of R programming for food sensory & consumer evaluations.

Description

descriptive sensory profiling technique used to measure the intensity of each sensory attribute related to the products. Products are evaluated one at a time for all the attributes.

Calculate each sensory attribute's mean score , use a line plot and PCA biplot to visualize the relations between products and attributes.

Usage

monprofile(data = NULL, prod = 1, firsta = 4, ncluster = 3, graph = c("point", "text"))

Arguments

data	a data frame, contains product/panelists names in rows and attributes in columns.
prod	the column number which contains products names.default is 1.
firsta	the column number of the first sensory attribute.default is 4.
ncluster	the number of clusters you want to have when calculating kmeans.
graph	the content you want to plot,"point" only plot points,"text" only plot texts. plot both in default.

See Also

ggplot2

Examples

data(monprofile_data)
monprofile(monprofile_data,graph = "text",ncluster = 3)

laynelv/isenso documentation built on May 20, 2019, 8:26 p.m.