seqdiff {TraMineR} R Documentation

## Position-wise discrepancy analysis between groups of sequences

### Description

The function analyses how the differences between groups of sequences evolve along the positions. It runs a sequence of discrepancy analyses on sliding windows.

### Usage

seqdiff(seqdata, group, cmprange = c(0, 1),
seqdist.args = list(method = "LCS", norm = "auto"), with.missing = FALSE,
weighted = TRUE, squared = FALSE, seqdist_arg)


### Arguments

 seqdata a state sequence object created with the seqdef function. group The group variable. cmprange Vector of two integers: Time range of the sliding windows. Comparison at t is computed on the window (t + cmprange[1], t + cmprange[2]). seqdist.args List of arguments passed to seqdist for computing the distances. with.missing Logical. If TRUE, missing values are considered as an additional state. If FALSE subsequences with missing values are removed from the analysis. weighted Logical. If TRUE, seqdiff uses the weights specified in seqdata. squared Logical. If TRUE the dissimilarities are squared for computing the discrepancy. seqdist_arg Deprecated. Use seqdist.args instead.

### Details

The function analyses how the part of discrepancy explained by the group variable evolves along the position axis. It runs successively discrepancy analyses within a sliding time-window of range cmprange). At each position t, the method uses seqdist to compute a distance matrix over the time-window (t + cmprange[1], t + cmprange[2]) and then derives the explained discrepancy on that window with dissassoc.

There are print and plot methods for the returned value.

### Value

A seqdiff object, with the following items:

 stat A data.frame with five statistics (Pseudo F, Pseudo Fbf, Pseudo R2, Bartlett, and Levene) for each time stamp of the sequence (see dissassoc) discrepancy A data.frame with, at each time position t, the discrepancy within the whole set of sequences and within each group (defined by the group variable).

### Author(s)

Matthias Studer (with Gilbert Ritschard for the help page)

### References

Studer, M., G. Ritschard, A. Gabadinho and N. S. Müller (2011). Discrepancy analysis of state sequences, Sociological Methods and Research, Vol. 40(3), 471-510, doi:10.1177/0049124111415372.

Studer, M., G. Ritschard, A. Gabadinho and N. S. Müller (2010) Discrepancy analysis of complex objects using dissimilarities. In F. Guillet, G. Ritschard, D. A. Zighed and H. Briand (Eds.), Advances in Knowledge Discovery and Management, Studies in Computational Intelligence, Volume 292, pp. 3-19. Berlin: Springer.

Studer, M., G. Ritschard, A. Gabadinho and N. S. Müller (2009) Analyse de dissimilarités par arbre d'induction. In EGC 2009, Revue des Nouvelles Technologies de l'Information, Vol. E-15, pp. 7-18.

dissassoc to analyse the association of the group variable with the whole sequence

### Examples

## Define a state sequence object