Introduction | Typologie de séquences en sciences sociales | Installation et chargement | Étapes de l'analyse en clusters | Le clustering | Combiner les algorithmes | Mesurer la qualité d'une partition | Présentation des mesures | Utiliser la silhouette pour représenter les clusters | Choix d'une partition | Nommer les clusters | Mettre en lien trajectoires-types et facteurs explicatifs | Conclusion | Agréger les séquences identiques | Notes sur les performances | Détails des mesures de qualité | Construction de la variable test

Short tutorial | Creating the state sequence object | Constructing the typology | Association study | Robustness assessment | Extended Tutorial | Estimating the Number of Clusters | Plotting the AME | Pooling Effect Sizes | Diagnostics | Outliers | Bootstrap replicates of the typology | References

Introduction | Data Preparation | Fuzzy Clustering | Plotting the typology | Regression models | Property-based clustering | References

Introduction | Creating the State Sequence Object | Creating the typology | The clustassoc function | References

Introduction | Data Preparation | CLARA Clustering | Cluster Quality Indices | Plotting the Typology | Fuzzy Clustering

Introduction | Creating the State Sequence Object | Creating the typology | Parametric Bootstrap | Combined Randomization | Randomized Sequencing | Randomized Duration | State Independence | First-order Markov Null Model | Choosing a Solution

Installation | An illustrative example | Hierarchical clustering | Cluster quality | PAM clustering | Keeping a solution | Disaggregating data

Introduction | Typology of sequences in the social sciences | Installation and loading | Stages of cluster analysis | Clustering | Measuring the quality of a partition | Linking trajectory types and explanatory factors | Conclusion | Aggregating identical sequences | Notes on performances | Details of quality measures | Construction of the test variable