Bonus material

This website serves primarily as a companion page for our book, but also aims to provide additional material covering more recent developments. Currently, the bonus content showcases a newly developed R library for generating sequence plots and a new sequence analysis package for Python.

New plotting option with {ggseqplot}

The {ggseqplot} library provides a ggplot2-based alternative to TraMineR’s base R plotting functions, offering more flexible and customizable visualization options for sequence data. We briefly introduce the library here. Moreover, we provide a tutorial on how to recreate the most complex figure from our book (Figure 2-5) with {ggseqplot}.

For more details, see maraab23.github.io/ggseqplot


Performance boost with Python

The newly developed Python package Sequenzo offers significant performance improvements for sequence analysis tasks. Focusing on R user, we illustrate how to utilize this package from R by using the very handy {reticulate} package (see here).

For more details, see sequenzo.yuqi-liang.tech/en

Corrections

If you see mistakes or want to suggest changes, please create an issue on the source repository.

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY-NC 4.0. Source code is available at https://github.com/sa-book/sa-book.github.io, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".