seqecreate | R Documentation |
Create an event sequence object either from time stamped events or from a state sequence object.
seqecreate(data = NULL, id = NULL,timestamp = NULL, event = NULL,
end.event = NULL, tevent = "transition", use.labels = TRUE,
weighted = TRUE, endEvent)
data |
A state sequence object (see |
id |
Integer. The sequence 'id' column when data are provided in TSE format (ignored if |
timestamp |
Double. The event 'timestamp' column when data are provided in TSE format, i.e., the time at which events occur (ignored if |
event |
Character or factor. The 'event' column when data are provided in TSE format, i.e., the events occurring at the specified time stamps (ignored if |
end.event |
Character. If specified this event indicates the end of observation time (total length of event sequences) when it is not followed by any other valid event. The event is ignored when occurring in between two valid events. |
tevent |
Either a transition matrix or a method to generate events from state sequences (see |
use.labels |
Logical. If |
weighted |
Logical. If |
endEvent |
Deprecated. Use |
There are several ways to create an event sequence object. The first one is by providing the events in TSE format (see seqformat
), i.e. by providing three paired lists: id, timestamp and event, such that each triplet (id, timestamp, event) defines the event that occurs at time timestamp for case id. Several events at the same time for a same id are allowed. The lists can be provided with the arguments id
, timestamp
and event
. An alternative is by providing a data frame as data
argument in which case the function takes the required information from the "id", "timestamp" and "event" columns of that data frame. In any case with TSE format, listed events should be grouped by id and an error will be thrown otherwise. Such grouping can be achieved by ordering the data according to the id column using the order
function (e.g., data[order(data$id), ]
).
The other way is to pass a state sequence object (as data
argument) and to perform an automatic state-to-event conversion. The simplest way to make a conversion is by means of a predefined method (see seqetm
), such as "transition"
(one distinct event per possible transition), "state"
(a new event for each entering in a new state) and "period"
(a pair of events, one start-state event and one end-state event for each found transition). For a more customized conversion, you can specify a transition matrix in the same way as in seqformat
. Function seqetm
can help you in creating your transition matrix.
Event sequence objects as created by seqecreate
are required by most other 'seqe
' methods, such as seqefsub
or seqeapplysub
for example.
An object of class seqelist
. There are print
,
and plot
methods for such objects.
Matthias Studer (with Gilbert Ritschard for the help page)
Ritschard, G., Bürgin, R., and Studer, M. (2014), "Exploratory Mining of Life Event Histories", In McArdle, J.J. & Ritschard, G. (eds) Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences. Series: Quantitative Methodology, pp. 221-253. New York: Routledge.
Ritschard, G., A. Gabadinho, M. Studer and N. S. Müller. Converting between various sequence representations. in Ras, Z. & Dardzinska, A. (eds.) Advances in Data Management, Springer, 2009, 223, 155-175.
seqformat
for converting between sequence formats,
seqeweight
for retrieving or assigning weights,
seqefsub
for searching frequent subsequences,
seqecmpgroup
to search for discriminant subsequences,
seqeapplysub
for counting subsequence occurrences,
seqelength
for information about length (observation time) of event sequences,
seqdef
to create a state sequence object.
##Starting with states sequences
##Loading data
data(biofam)
## Creating state sequences
biofam.seq <- seqdef(biofam,10:25, informat='STS')
## Creating event sequences from biofam
biofam.eseq <- seqecreate(biofam.seq)
## Loading data
data(actcal.tse)
## Creating sequences
actcal.eseq <- seqecreate(id=actcal.tse$id, timestamp=actcal.tse$time,
event=actcal.tse$event)
##printing sequences
actcal.eseq[1:10]
## Using the data argument
actcal.eseq <- seqecreate(data=actcal.tse)
## Example with missings
data(ex1) ## STS data with missing values
## Creating the state sequence object with by default
## the left missings and gaps coded as '*' and
## end missings coded as void ('%')
sqex1 <- seqdef(ex1[,1:13])
## and without ignoring right missings (coded as '*')
sqex1b <- seqdef(ex1[,1:13], right=NA)
## Compare the outcome
seqecreate(sqex1)
seqecreate(sqex1, tevent='state')
seqecreate(sqex1, tevent='state', end.event=attr(sqex1,'void'))
seqecreate(sqex1b, tevent='state')
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