Very useful in geosciences.

MDS is a form of a PCA- often used in sensory science. The MDS uses the input of a similarity/dissimilarity matrix to obtain a 2-D visualization of the similarities and differences between products/subjects based on their proximity to one another ...

It is useful in terms of crossvalidating the results and is implemented in other software

When performing the Kruskal-Wallis analysis of variance on k samples, up until now, you can choose between Dunn, Conover-Iman and Steel-Dwass-Critchlow-Fligner with the addition of Bonferroni correction (for the first two mentioned, respectively) ...

A tetrahedron version of the Ternary chart. Allows for 4 variables.

Hi, I have a question regarding the modeling data section. I have an XLSTAT-Premium version to deal with the metabolomics data. PCA and PLS-DA contributed a lot to explore my dataset. However, nowadays Orthogonal Partial least squares discriminant...

L'Abbé plot can be useful to assess heterogeneity in a meta-analysis Funnel plot can be useful to assess for bias in a meta-analysis

Pour caractériser au mieux chaque classe de CAH, ajouter un tableau croisé des valeurs-test de chaque variable de la CAH pour chaque classe de la CAH. Cela permet de mieux interpréter chaque classe, notamment lorsque le nombre de variables est imp...

Rolling multiple regression is extremely useful in that it enables you to see how stable the beta coefficients are over time. This is a very common issue that comes up regularly when you deal with financial time series.