Extract sequences of distinct successive states
Extract the sequence of distinct successive states from each sequence in a object.
seqdss(seqdata, with.missing=FALSE)
seqdata |
a sequence object as defined by the |
with.missing |
Should non-void missing values be considered as regular states? See Details. |
Returns a sequence object containing the sequences of distinct successive states (DSS). The spell durations are not taken into account. E.g., the DSS contained in 'D-D-D-D-A-A-A-A-A-A-A-D' is 'D-A-D'. Associated durations can be extracted with the seqdur function.
When {with.missing=TRUE}, non-void missing values are considered as a regular state of the alphabet. For example, the DSS of A-A-*-*-*-B-B-C-C-D is A-*-B-C-D.
When with.missing=FALSE (default) missing values are ignored and a substring A-A-*-*-*A for example will be considered as a single spell in A while the DSS of this substring would be A-*-A whith with.missing=TRUE.
See seqdef on options for handling missing values when creating sequence objects.
a sequence object containing the distinct state sequence (DSS) for each sequence in the object given as argument.
Alexis Gabadinho and Gilbert Ritschard
## Creating a sequence object from columns 13 to 24 ## in the 'actcal' example data set ## Here we retain the first 10 sequences only. data(actcal) actcal.seq <- seqdef(actcal[1:10,13:24]) ## Retrieving the DSS actcal.dss <- seqdss(actcal.seq) ## Displaying the DSS for the first 10 sequences actcal.dss ## Example with with.missing argument data(ex1) ex1.seq <- seqdef(ex1[, 1:13]) seqdss(ex1.seq) seqdss(ex1.seq, with.missing=TRUE)
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