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Repeated measures Analysis of Variance (ANOVA)

Use this tool to carry out Repeated Measures ANOVA (ANalysis Of VAriance). The advanced options enable you to choose the constraints on the model and to take account of interactions between the factors. Multiple comparison tests can be calculated. XLSTAT proposes two ways for handling repeated measures ANOVA. The classical way using least squares estimation (LS) that is based on the same model as...

ANCOVA analysis in Excel tutorial

Setting up an analysis in XLSTAT

Analysis of temporal check-all-that-apply (TCATA) data in Excel

Analysis of a Taguchi design

The Taguchi method is a method introduced by Genichi Taguchi (Genichi and Wu, 1980) which is a method of experimental design providing an improvement to full and fractional factorial designs. It consists in using orthogonal tables, which have been pre-established by G. Taguchi, which depend on the number of runs to be performed, the number of factors in the model, and the number of levels by factors....

Time-Intensity

What is Time-Intensity Analysis? Time-Intensity (TI) is a temporal sensory method first introduced in the 30s. It became notably used in sensory analysis in the 50s (Söjström (1954)) and emerged in the 70s with the improvement of recording instrument. During TI evaluations, assessors are asked to score the intensity of perception of a single attribute over consumption of the product. Compared to single...

Easy Fit / Easy Predict

Easy Fit allows you to test and compare different predictive models for the same dataset. Depending on the type of the dependent and explanatory variables (quantitative or qualitative), various models are proposed. The Easy Predict function can be then used to make predictions using the previously fitted models. Options for the Easy Fit / Easy Predict function in XLSTAT Available regression models...

DOE for sensory data analysis

Why do we use Design of Experiment in Sensory data analysis Designing an experiment is a fundamental step for anyone who wants to ensure that data collected will be statistically usable in the best possible way. No use to evaluate products from a panel of judges if the products cannot be compared under statistically reliable conditions. It is also not necessary to have each judge evaluate all products...

Cumulative Incidence analysis in Excel tutorial

Partial least squares discriminant analysis PLSDA tutorial