Currently, XLSTAT DoE for Conjoint, CBC & Maxdiff generates the same questionaire to all respondents. It would be great to be able to generate different question sets to give to different respondent groups.

Principal Component Analysis (PCA): an option that allows displaying variable tags parallel to vectors in the correlation circle could help improve visibility in some cases. Example: http://i.stack.imgur.com/PDYH3.png

It would be great if XLSTAT allows taking into account prohibited pairs in CBC designs.

Cronbach's Alpha is alread available in XLSTAT's Factor Analysis options. Would be awesome if it could be accessible as an independent feature, along with other reliability indices, such as Guttman's lambda

The XLSTAT non parametric tests list is quite complete. One essential feature is missing, though: the Wilcoxon one-sample test to compare the location of a sample to a hypothesized value.

Computing Monte-Carlo simulated p-values for t-tests or ANOVA is an interesting non-parametric approach to perform these tests using the real "raw" data instead of ranks. This approach is implemented in the coin package in R.

Bonjour, serait-il possible d'exploiter les Cartes de Kohonen ou Self Aggregating Maps à l'intérieur d'Xlstat?

The attached image speaks for itself: each pair of bars is a dependent variable in the context of a one-way ANOVA model (factor: sample with two levels). The factor has a significant effect on the output for Attribute 1.

For ANOVA analysis, there is an option to "sort up" the statistical lettering, so that the lowest mean is paired with a, the next lowest is paired with b, and so on (ex: 1.5a, 3.6b, 10.4c). If this option is not checked, the highest mean will be p...