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Contrast analysis after a one-way ANOVA in Excel

Projective mapping data analysis

What is projective mapping data analysis The projective mapping (or Napping) task is one of the so-called "rapid" tests that are becoming increasingly popular in the context of the sensory characterization of products. You ask each subject to place products on a sheet of paper. The data collected are simply the coordinates of the products on the x-axis and y-axis of the sheet of paper. Each subject...

Sensory shelf life analysis

What is sensory shelf life analysis Sensory shelf life analysis is used to evaluate the ideal period for consumption of a product using sensory evaluation of assessors at different times/dates. It may happen that the physico-chemical properties of a product are not sufficient to assess the quality of a product with respect to the period in which it is consumed. Frequently, adding sensory evaluation...

MONANOVA - Monotone regression

The MONANOVA model Monotone regression and the MONANOVA model differ only in the fact that the explanatory variables are either quantitative or qualitative. They are based on linear regression in the first case, and on the ANOVA model in the second. These methods are based on iterative algorithms based on the ALS (alternating least squares) algorithm. Their principle is simple, it consists of alternating...

CHOICE-BASED CONJOINT ANALYSIS

PRINCIPLE OF CHOICE-BASED CONJOINT ANALYSIS (CBC) Conjoint analysis is a comprehensive method for the analysis of new products in a competitive environment. This tool allows you to carry out the step of analyzing the results obtained after the collection of responses from a sample of people. It is the fourth step of the analysis once the attributes have been defined, the design has been generated,...

PLS discriminant analysis

What is PLS discriminant analysis? PLS regression can be adapted to fit discriminant analysis (PLS-DA). The PLS discriminant analysis uses the PLS algorithm to explain and predict the membership of observations to several classes using quantitative or qualitative explanatory variables. XLSTAT uses the PLS2 algorithm applied on the full disjunctive table obtained from the qualitative dependent variable....

CLUSTATIS

Clustering tables by means of CLUSTATIS in Excel Cases where data are made up of different blocks of variables are becoming more and more frequent. Sensory analysis is particularly concerned by this phenomenon, since many tasks lead to this type of data, with each consumer/judge/subject providing a configuration/table (e.g.Projective mapping/Napping, conventional profiling, free choice profiling)....

Choice based conjoint analysis with Hierarchical Bayes (CBC HB)

Cumulative incidence

What is cumulative incidence Cumulative incidence investigates disease frequency at a certain period of time. It is often called competing risks case. Technically, for a given period, the cumulative incidence is the probability that an observation still included in the analysis at the beginning of this period will be affected by an event during the period. It is especially appropriate in the case...

Life table analysis

What is life table analysis Life table analysis belongs to the descriptive methods of survival analysis, similarly to the Kaplan Meier analysis. The life table analysis method was developed first, but the Kaplan-Meier analysis method has been shown to be superior in many cases. Life table analysis allows to quickly obtain a population survival curve and essential statistics such as the median survival...