TraMineRextras: plot.emlt – R documentation

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plot.emlt

Emlt Plots

Description

Plots static and dynamic state structure from the outcome of seqemlt. Two types of plot are proposed: The evolution in time of the correlation between states, and the projection of situations (time-indexed states) on their principal planes.

Usage

## S3 method for class 'emlt'
plot(x, from, to, delay=NULL, leg=TRUE, type="cor", cex=0.7, compx=1, compy=2, ...)

Arguments

`x`	an object of class `emlt` as produced by `seqemlt`
`type`	character string: type of plot to be drawn. Possible types are `"cor"` for the evolution in time of the correlation between states, and `"pca"` for the projection of states/situations on their principal planes
`from`	vector of state labels: for type `"cor"`, origin state(s) to be considered.
`to`	state label: for type "cor", destination state.
`delay`	for type "cor", the delay (number of time periods) between `"from"` and `"to"` arguments. The correlation between state `"from"` at time t and `"to"` at t+`delay`. By default `delay` is 0.
`compx`	integer: for type `"pca"` first component, axis x
`compy`	integer: for type `"pca"` second component, axis y
`leg`	logical: should the legend be included
`cex`	numerical value: amount by which plotting text and symbols should be magnified relative to the default.
`...`	Arguments to be passed to methods, such as graphical parameters (see `par`)

Details

The evolution of the correlation reveals the evolution of the emlt Euclidean distance between the situations (time-indexed states) along the timeframe.

The "pca" components are the principal components of the emlt numerical coordinates of the sequences, see seqemlt.

Author(s)

Patrick Rousset, Senior researcher at Cereq, rousset@cereq.fr with the help of Matthias Studer

References

Rousset, Patrick and Jean-François Giret (2007), Classifying Qualitative Time Series with SOM: The Typology of Career Paths in France, in F. Sandoval, A. Prieto and M. Grana (Eds) Computational and Ambient Intelligence, Lecture Notes in Computer science, vol 4507, Berlin: Springer, pp 757-764.

Rousset, Patrick, Jean-François Giret and Yvette Grelet (2012) Typologies De Parcours et Dynamique Longitudinale, Bulletin de méthodologie sociologique, 114(1), 5-34.

Rousset, Patrick and Jean-François Giret (2008) A longitudinal Analysis of Labour Market Data with SOM, in J. Rabuñal Dopico, J. Dorado, & A. Pazos (Eds.) Encyclopedia of Artificial Intelligence, Hershey, PA: Information Science Reference, pp 1029-1035.

Examples

## See examples on 'seqemlt' help page

TraMineRextras

TraMineR Extension

v0.6.1

GPL (>= 2)

Authors

Gilbert Ritschard [aut, cre, ths, cph] (<https://orcid.org/0000-0001-7776-0903>), Matthias Studer [aut] (<https://orcid.org/0000-0002-6269-1412>), Reto Buergin [aut], Tim Liao [ctb], Alexis Gabadinho [ctb], Pierre-Alexandre Fonta [ctb], Nicolas Muller [ctb], Patrick Rousset [ctb]

Initial release

2021-01-20