Analyse-it Standard Edition provides you with the powerful statistical analysis and regression you’d expect from an expensive statistics package, but without the complexity or the cost.

• Describe your data with a wide range of statistics.

• Visualize distributions, see trends and patterns, and spot outliers with powerful charts from histograms to scatter plots.

• Infer and test hypotheses to get answers on distribution parameters, differences between populations, association between variables, and much more. Includes ANOVA, multiple comparisons, and an extensive range of parametric and non-parametric tests.

• Discover relationships between variables and identify important factors with powerful regression and model fitting techniques. Include linear and logistic regression, with simple functions, or advanced models with crossed, polynomial and factorial terms.

• Get insight into highly complex data by reducing dimensionality to get a clearer picture of the underlying structure. Includes correlation matrix, PCA (Principle Component Analysis) and Factor Analysis.

The ‘Stylo’ package provides easy-to-use implementations of various established analyses in the field of computational stylistics, including non-traditional authorship attribution, genre recognition, style development (“stylochronometry”), etc. The package includes a number of explanatory methods provided by the function stylo() (multidimensional scaling, principal component analysis, cluster analysis, bootstrap consensus trees). Addtionally, a number of supervised machine-learning methods are available via the function classify() (Delta, support vector machines, naive Bayes, k-nearest neighbors, nearest shrunken centroids). The rolling.delta() function analyses collaborative works and tries to determine the authorship of fragments extracted from them. The oppose() function performs a contrastive analysis between two given sets of texts: among other things, it generates lists of words significantly preferred and avoided by one or more authors in comparison to the texts by another author (or a set of them). (from: "Stylo: a package for stylometric analyses" by Eder/Kestemont/Rybicki)