seqdecomp

a dataframe or matrix containing sequence data.

data

the list of columns containing the sequences. Default is <code>NULL</code>, ie all the columns. Whether the sequences are in the compressed (character strings) or extended format is automatically detected by counting the number of columns.

the between states/events separator used in the input data set. Default is '<code>-</code>'.

the symbol for missing values (if any) used in the input data set. Default is <code>NA</code>.

miss

optional names for the column/variables of the output data set. Default is <code>NULL</code>.

vnames

For the moment, each character in the string will be considered to be one state or event = this function will not give accurate results if the character string representing the sequence contains events or states coded with more than one character.

Data handling

This is a toolbox for the manipulation, description and rendering of sequences, and more generally the mining of sequence data in the field of social sciences. Although the toolbox is primarily intended for analyzing state or event sequences that describe life courses such as family formation histories or professional careers, its features also apply to many other kinds of categorical sequence data. It accepts many different sequence representations as input and provides tools for converting sequences from one format to another. It offers several functions for describing and rendering sequences, for computing distances between sequences with different metrics (among which optimal matching), original dissimilarity-based analysis tools, 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 the TraMineR web page.

seqdecomp: Convert a character string into a vector of states or events

Description

Usage

Arguments

See Also

Examples