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TraMineR (version 2.2-5)

Trajectory Miner: a Toolbox for Exploring and Rendering Sequences

Description

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.

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Version

Install

install.packages('TraMineR')

Monthly Downloads

2,743

Version

2.2-5

License

GPL (>= 2)

Maintainer

Gilbert Ritschard

Last Published

August 30th, 2022

Functions in TraMineR (2.2-5)

Example data set: Activity calendar from the Swiss Household Panel (time stamped event format)

Get or set the alphabet of a state or event sequence object

TraMineR-package

Trajectory Miner: a Toolbox for Exploring and Rendering Sequences

TraMineR.check.depr.args

Checking and managing deprecated arguments

Relative Frequency Groups.

Dissimilarity Tree

Example data set: First 20 biofam sequences in SPELL form

Analysis of discrepancy from dissimilarity measures

Get or set the color palette of a sequence object

Example data set: Family life states from the Swiss Household Panel biographical survey

Graphical representation of a dissimilarity tree

Example data sets with weighted and unweighted sequence data

Multi-factor ANOVA from a dissimilarity matrix

Compute distances to the center of a group

Domain association measures

Terminal node membership

Example data set: sequences of family formation

plot.stslist.meant

Plot method for objects produced by the seqmeant function

Dissimilarity based discrepancy

Print method for state sequence objects

Example data set with missing values and weights

plot.stslist.freq

Plot method for sequence frequency tables

Plot method for state sequence objects

Plot method for seqrf objects of relative frequency groups of sequences.

Plotting a seqdiff object.

plot.stslist.modst

Plot method for modal state sequences

Compute the length of the longest common subsequence of two sequences

Compute the length of the longest common prefix of two sequences

Read a distance matrix produced by TDA.

plot.stslist.rep

Plot method for representative sequence sets

plot.stslist.statd

Plot method for objects produced by the seqstatd function

Test if is a proper state sequence (stslist) object

Extracting sets of representative objects using a dissimilarity matrix

Distances (dissimilarities) between sequences

plot.subseqelist

Plot frequencies of subsequences

Extract sequences of distinct successive states

Position-wise discrepancy analysis between groups of sequences

Dimension of a set of sequences

Check if sequence contains events

Setting time constraints and the counting method

Convert a character string into a vector of states or events

plot.subseqelistchisq

Plot discriminant subsequences

Example data set: Transition from school to work

Create a state sequence object

Concatenate vectors of states or events into a character string

Generate substitution and indel costs

Multidomain sequences

Searching for frequent subsequences

Event sequence object

Sequences turbulence

Extract state durations from a sequence object.

Create event sequence objects.

Retrieve unique ids from an event sequence object.

Check if sequences are in the compressed or extended format

Indexes of state sequence(s) x in state sequence object y

Lengths of event sequences

Complexity index of individual sequences

Integrative potential

Indicators for binary sequences of positive and negative states.

Within sequence entropies

Create a transition-definition matrix

Sequence indicators

Computation details about a pairwise alignment

Conversion between sequence formats

Setting or retrieving weights of an event sequence object.

Search for the first occurrence of a given element in a sequence

Find substring patterns in sequences

Plot a legend for the states in a sequence object

Volatility of individual state sequences

Degradation, Precarity, and Insecurity indexes

Sequence of transversal state distributions and their entropies

Parallel coordinate plot for sequence data

Plot state sequence objects

State precarity

Recoding state sequence objects and factors

Compare two state sequences

State frequencies in the whole sequence data set

Get or set the state labels of a sequence object

Variance of spell durations in individual sequences

State frequencies in each individual sequence

Graphical rendering of a sequence regression tree

Mean durations in each state

Sequence of modal states

Identifying discriminating subsequences

Checking for the presence of given event subsequences

Logarithm of the probabilities of state sequences

Frequency table of the sequences

Number of transitions in a sequence

End of first spell in given state

Indexes of most frequent tokens

Compute transition rates between states

seqlength.align

Align sequence length among domains

Random sequences generation

Tree structured analysis of a state sequence object.

Extracting sets of representative sequences

Adds separators to sequences stored as character string

Sequence length

String representation of an event sequence object

Number of matching positions between two sequences.

Transform into a sequence object with numerical alphabet.

Number of distinct subsequences in a sequence.

List of distinct states or events (alphabet) in a sequence data set.

TraMineRInternal

Access to TraMineR internal functions

Example data set: Activity calendar from the Swiss Household Panel