Example data set used to demonstrate the handling of missing values and weights.

The state column (variable) names are `[P1]' ... `[P13]'

The alphabet is made of four possible states: A, B, C and D.
The data set contains also the `weights' covariate which contains case weights. The sum of weights is 60.

datasets

This package is a toolbox for sequence manipulation,
        description, rendering and more generally sequence data mining
        in the field of social sciences. Though it is primarily
        intended for analyzing state or event sequences that describe
        life courses such as family formation histories or professional
        careers its features apply indeed also to many other kinds of
        categorical sequence data. It accepts as input many different
        sequence representations and provides tools for translating
        sequences from one format to another. It offers several
        statistical functions for describing and rendering sequences,
        for computing distances between sequences with different
        metrics among which optimal matching, the longest common prefix
        and the longest common subsequence, and simple functions for
        extracting the most frequent subsequences and identifying the
        most discriminating ones among them. A user's guide can be
        found on TraMineR's web page.

Alexis Gabadinho

TraMineR

Sequences and trajectories mining for social scientists

ex1 function

A data frame with 6 rows, 13 state variables, 1 covariate.

format

The brain of the TraMineR package maintainer.

ex1: Example data set with missing values and weights

Description

Usage

Arguments

format

source