Description Usage Arguments Details Author(s) References See Also Examples
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 (timeindexed states) on their principal planes.
1 2 
x 
an object of class 
type 
character string: type of plot to be drawn. Possible types are

from 
vector of state labels: for type 
to 
state label: for type "cor", destination state. 
delay 
for type "cor", the delay (number of time periods) between 
compx 
integer: for type 
compy 
integer: for type 
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 
The evolution of the correlation reveals the evolution of the emlt Euclidean distance between the situations (timeindexed states) along the timeframe.
The "pca"
components are the principal components of the emlt numerical coordinates of the sequences, see seqemlt
.
Patrick Rousset, Senior researcher at Cereq, [email protected] with the help of Matthias Studer
Rousset, Patrick and JeanFran<c3><a7>ois 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 757764.
Rousset, Patrick, JeanFran<c3><a7>ois Giret and Yvette Grelet (2012) Typologies De Parcours et Dynamique Longitudinale, Bulletin de m<c3><a9>thodologie sociologique, 114(1), 534.
Rousset, Patrick and JeanFran<c3><a7>ois Giret (2008) A longitudinal Analysis of Labour Market Data with SOM, in J. Rabu<c3><b1>al Dopico, J. Dorado, & A. Pazos (Eds.) Encyclopedia of Artificial Intelligence, Hershey, PA: Information Science Reference, pp 10291035.
See Also seqemlt
(with examples)
1  ## See examples on 'seqemlt' help page

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