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You’ll benefit from data preparation and visualization tools, parametric and nonparametric tests, modeling methods (ANOVA, regression, generalized linear models, nonlinear models), data mining features (principal component analysis, correspondence analysis…) and clustering methods (Agglomerative Hierarchical Clustering, K-means…).

N first rows: The sample obtained is taken from the first N rows of the initial table.
N last rows: The sample obtained is taken from the last N rows of the initial table. This method is only used if it is certain that the values have not been sorted according to a particular criterion which could introduce bias into the analysis

XLSTAT-R is an interface between XLSTAT and the open source R software that allows you to run your own combined R and XLSTAT procedures within the XLSTAT dialog boxes.
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