timeFrequency counts the number of occurrences of event times, of
the time gaps between the events of a sequence, the minimum or maximum
gap of a sequence, or the span of a sequence.
timeTable cross-tabulates the above statistics for items or
itemsets. For items the sequences are reduced to the events containing
firstOrder computes a first order model, i.e. a table of counts
of state changes among a collection of timed sequences, where the
elements or the times can be the states.
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## S4 method for signature 'timedsequences' timeFrequency(x, type = c("times", "gaps", "mingap", "maxgap", "span")) ## S4 method for signature 'timedsequences' timeTable(x, type = c("times","gaps", "mingap", "maxgap", "span"), itemsets = FALSE) ## S4 method for signature 'timedsequences' firstOrder(x, times = FALSE)
a string (logical) value specifying the type of count.
timeFrequency returns a vector of counts corresponding with
the set of distinct event times, the set of gaps or spans as indicated
by the names attribute.
timeTable returns a table of counts with the rownames
corresponding with the reference set of distinct items or itemsets.
firstOrder a matrix of counts corresponding with the set of
distinct itemsets or event times.
Undefined values are not included in the counts, e.g. the
of a sequence with one element only. Thus, except for
gaps the counts (per item or itemset) always add up to less than
or equal the number of sequences, i.e.
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## continue example example("timedsequences-class") ## totals timeFrequency(z) timeFrequency(z, "gaps") timeFrequency(z, "span") ## default items timeTable(z) timeTable(z, "gaps") timeTable(z, "span") ## beware of large data sets timeTable(z, itemsets = TRUE) ## first order models firstOrder(z) firstOrder(z, times = TRUE)
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