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| assign.plot.colors | Assign colors to samples |
| classify | Machine-learning classification |
| define.plot.area | Define area for scatterplots |
| delete.markup | Delete HTML or XML tags |
| delete.stop.words | Exclude stop words (e.g. pronouns, particles, etc.) from a dataset |
| gui.classify | GUI for the function classify |
| gui.oppose | GUI for the function oppose |
| gui.stylo | GUI for stylo |
| load.corpus | Load text files |
| load.corpus.and.parse | Load text files and perform pre-processing |
| make.ngrams | Make text n-grams |
| make.samples | Split text to samples |
| make.table.of.frequencies | Prepare a table of (relative) word frequencies |
| oppose | Contrastive analysis of texts |
| perform.culling | Exclude variables (e.g. words, n-grams) from a frequency table that are too characteristic for some samples |
| perform.delta | Distance-based classifier |
| perform.knn | k-Nearest Neighbor classifier |
| perform.naivebayes | Naive Bayes classifier |
| perform.nsc | Nearest Shrunken Centroids classifier |
| perform.svm | Support Vector Machines classifier |
| rolling.classify | Sequential machine-learning classification |
| rolling.delta | Sequential stylometric analysis |
| stylo | Stylometric multidimensional analyses |
| stylo.default.settings | Setting variables for the package stylo |
| stylo.package | Stylometric multidimensional analyses |
| stylo.pronouns | List of pronouns |
| txt.to.features | Split string of words or other countable features |
| txt.to.words | Split text into words |
| txt.to.words.ext | Split text into words: extended version |
| zeta.chisquare | Compare two subcorpora using a home-brew variant of Craig's Zeta |
| zeta.craig | Compare two subcorpora using Craig's Zeta |
| zeta.eder | Compare two subcorpora using Eder's Zeta |