sensory.overall.analysis: Overall analysis of multiple-response sensory data using the...

In MahieuB/MultiResponseR: Analysis of Data from Multiple-Response Questionnaires

Overall analysis of multiple-response sensory data using the multiple-response chi-square framework introduced in Mahieu, Schlich, Visalli, and Cardot (2021)

Description

Successively performs sensory.mr.dimensionality.test, sensory.mrCA and sensory.mr.sig.cell

Usage

sensory.overall.analysis(data, nMC = 2000, alpha = 0.05, cell.two.sided = TRUE)

Arguments

data	A data.frame of evaluations in rows whose first two columns are factors (subject and product) and subsequent columns are binary numeric or integer, each column being a descriptor
nMC	Number of Monte-Carlo simulations to consider at each step of the overall analysis
alpha	The alpha risk to consider at each step of the overall analysis
cell.two.sided	Logical. Should the multiple-response hypergeometric tests per cell be two-sided or not?

Value

The first MR-CA factor map and the percent.derived.cont table with significant cells highlighted

References

Mahieu, B., Schlich, P., Visalli, M., & Cardot, H. (2021). A multiple-response chi-square framework for the analysis of Free-Comment and Check-All-That-Apply data. Food Quality and Preference, 93.

Examples

data(milkchoc)

sensory.overall.analysis(milkchoc)

MahieuB/MultiResponseR documentation built on June 22, 2024, 8:08 a.m.