Learn R Programming

TraMineR (version 1.6-2)

seqefsub: Searching for frequent subsequences

Description

Returns the list of frequent subsequences satisfying the specified minimum support. Several time constraints can be set to restrict the search to specific time periods or subsequences durations.

Usage

seqefsub(seq, strsubseq = NULL, minSupport = NULL,
    pMinSupport = NULL, constraint = seqeconstraint(), maxK = -1)

Arguments

seq
A list of event sequences
strsubseq
Can be used to look for specific subsequences. See details.
minSupport
The minimum support (in number of sequences)
pMinSupport
The minimum support (in percentage, will be rounded)
constraint
Time constraint object, i.e the result of a call to seqeconstraint
maxK
The maximum number of events allowed in a subsequence

Value

  • A subseqelist object which contain at least the following objects:
  • seqeThe list of sequences in which the subsequences were searched (a seqelist event sequence object).
  • subseqA list of subsequences (a seqelist event sequence object).
  • dataA data frame containing details (support, frequency, ...) about the subsequences
  • constraintThe constraint object used when searching the subsequences.
  • typeThe type of search: 'frequent' or 'user'

Details

There are two usages of this function. The first is for searching subsequences satisfying a support condition. The support is counted per sequence and not per occurrence, i.e. when a sequence contains twice a same subsequence it is counted only once. The support can be set through pMinSupport as a percentage (between 0 and 1 and it will be rounded), or through minSupport as a number of sequences. Time constraints can also be imposed with the constraint argument, which must be the outcome of a call to the seqeconstraint function). The second possibility is for searching sequences that contain specified subsequences. This is done by passing the list of subsequences with the strsubseq argument. The subsequences must be formatted as the one used to display subsequences (see str.seqelist). Each group of events should be enclosed in parentheses () and separated with commas, and the succession of events should be denoted by a '-' that indicates a time gap. For instance "(FullTime)-(PartTime, Children)" stands for the subsequence "FullTime" followed by the group of the two simultaneously occurring events "PartTime" and "Children". Information about the sequences that contain the subsequences can then be obtained with the seqeapplysub function. Subsets of the returned subseqelist can be accessed with the [] operator (see example). There are print and plot methods for subsequelist.

See Also

See plot.subseqelist to plot the result. See seqecreate for creating event sequences. See seqeapplysub to count the number of occurrences of frequent subsequences in each sequence. See is.seqelist about seqelist.

Examples

Run this code
data(actcal.tse)
actcal.seqe <- seqecreate(actcal.tse)

##Searching for frequent subsequences, that is, appearing at least 20 times
fsubseq <- seqefsub(actcal.seqe, minSupport=20)
##The same using a percentage
fsubseq <- seqefsub(actcal.seqe, pMinSupport=0.01)
##Getting a string representation of subsequences
##Ten first subsequences
fsubseq[1:10]

##Using time constraints
##Looking for subsequence starting in summer (between june and september)
fsubseq <- seqefsub(actcal.seqe, minSupport=10,
  constraint=seqeconstraint(ageMin=6, ageMax=9))
fsubseq[1:10]

##Looking for subsequence contained in summer (between june and september)
fsubseq <- seqefsub(actcal.seqe, minSupport=10,
  constraint=seqeconstraint(ageMin=6, ageMax=9, ageMaxEnd=9))
fsubseq[1:10]

##Looking for subsequence enclosed in a 6 month period
## and with a maximum gap of 2 month
fsubseq <- seqefsub(actcal.seqe, minSupport=10,
  constraint=seqeconstraint(maxGap=2, windowSize=6))
fsubseq[1:10]

Run the code above in your browser using DataLab