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TraMineR is a R-package for mining, describing and visualizing sequences of states or events, and more generally discrete sequence data.
Category
Data Mining Software Free
Features
•Intended for mining, describing and visualizing sequences of states or events, and more generally discrete sequence data
•Individual longitudinal characteristics of sequences
•Sequence transversal characteristics by age point
•Parallel coordinate plot of event sequences
•Identifying most discriminating event subsequences
License
Open Source
Price
Free
Pricing
Subscription
Free Trial
Available
Users Size
Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)
•Intended for mining, describing and visualizing sequences of states or events, and more generally discrete sequence data
•Individual longitudinal characteristics of sequences
•Sequence transversal characteristics by age point
•Parallel coordinate plot of event sequences
What are the benefits?
• Visualize sequence data sets
• Explore the sequence data set by computing and visualizing descriptive statistics
• Build a typology of transitions from school to work
• Run discrepancy analyses to study how sequences are related to covariates
• Analyze event sequences
• Extract, identify, and associate event subsequences
PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.6
7.1
Features & Functionality
7.6
8.1
Advanced Features
7.6
8.7
Integration
7.6
8.5
Performance
7.6
5.3
Customer Support
7.6
8.7
Implementation
6.9
Renew & Recommend
6.5
Bottom Line
Its primary aim is the analysis of biographical longitudinal data in the social sciences, such as data describing careers or family trajectories. However, most of its features also apply to many other kinds of categorical sequence data.
7.6
Editor Rating
7.5
Aggregated User Rating
4 ratings
You have rated this
TraMineR represents R-package (free software environment for statistical computing and graphics which compiles and runs on a wide variety of platforms such as UNIX platforms, Windows and MacOS) intended for mining, describing and visualizing sequences of states or events, and more generally discrete sequence data.
Analysis of biographical longitudinal, data such as data describing careers or family trajectories, in the social sciences is its primary goal.
This platform has many features that can apply in many other kinds of categorical sequence data. These features include: handling of longitudinal data and conversion between various sequence formats; plotting sequences (density plot, frequency plot, index plot and more); individual longitudinal characteristics of sequences (length, time in each state, longitudinal entropy, turbulence, complexity and more); sequence transversal characteristics by age point (transversal state distribution, transversal entropy, modal state); other aggregated characteristics such as transition rates, average duration in each state, sequence frequency; dissimilarities between pairs of sequences (Optimal matching, longest common subsequence.
Hamming, Dynamic Hamming, Multichannel and more); medoid and heterogeneity measure of a set of sequences; discovering and plotting representative sequences; ANOVA-like analysis of sequences and tree structured ANOVA from dissimilarities; parallel coordinate plot of event sequences; extracting frequent event subsequences; identifying most discriminating event subsequences; association rules between subsequences.
By using this platform users can load the library and the data set and retrieve the list of possible states. Next step is creating a state sequence object and by using this sequence object users can visualize the sequence data set, explore the sequence data set by computing and visualizing descriptive statistics, build a typology of transitions from school to work, run discrepancy analyses to study how sequences are related to covariates and to analyze event sequences.
For mining, describing and visualizing sequences of states or events
Company size
Medium (50 to 1000)
User Role
IT Support
User Industry
Construction
Rating
Ease of use8.3
Features & Functionality8.1
Advanced Features8.3
Integration8.3
ADDITIONAL INFORMATION TraMineR is a R-package for mining, describing and visualizing sequences of states or events, and more generally discrete sequence data. TraMineR is developed at the Institute of Demography and Socioeconomics (IDESO), University of Geneva, Switzerland under the responsibility of the TraMineR Scientific Committee. It focuses mainly on the analysis of biographical longitudinal data in the social sciences, but most of its features also apply to many other kinds of categorical sequence data. TraMineR provides simple, powerful descriptive and visualization tools that allow users to have an overview of sequences in the mvad data set as well as gain knowledge from the data. Single commands compute transversal or longitudinal descriptive statistics and display them in nice looking plots. Sequence index plots display either selected or all sequences in a sequence object while sequence frequency plots display distinct sequences sorted according to their frequency in the data, with the width of the bar used to represent each sequence proportional to its frequency. TraMineR enables you to easily analyze the discrepancy between sequences and visualize the results. Discrepancy analyses highlight the relationship between state sequences and one or more covariate. TriMiner also lets you extract frequent event subsequences so you can identify the most discriminating event subsequences, and the association rules between them.
For mining, describing and visualizing sequences of states or events
Medium (50 to 1000)
IT Support
Construction
ADDITIONAL INFORMATION
TraMineR is a R-package for mining, describing and visualizing sequences of states or events, and more generally discrete sequence data. TraMineR is developed at the Institute of Demography and Socioeconomics (IDESO), University of Geneva, Switzerland under the responsibility of the TraMineR Scientific Committee. It focuses mainly on the analysis of biographical longitudinal data in the social sciences, but most of its features also apply to many other kinds of categorical sequence data. TraMineR provides simple, powerful descriptive and visualization tools that allow users to have an overview of sequences in the mvad data set as well as gain knowledge from the data. Single commands compute transversal or longitudinal descriptive statistics and display them in nice looking plots. Sequence index plots display either selected or all sequences in a sequence object while sequence frequency plots display distinct sequences sorted according to their frequency in the data, with the width of the bar used to represent each sequence proportional to its frequency. TraMineR enables you to easily analyze the discrepancy between sequences and visualize the results. Discrepancy analyses highlight the relationship between state sequences and one or more covariate. TriMiner also lets you extract frequent event subsequences so you can identify the most discriminating event subsequences, and the association rules between them.