Report the distribution of values that follow occurrences of a sequence

This function reports the number of occurrences of the sequence represented by node in the original time series used to build the associated context tree (not including a possible final occurrence not followed by any value at the end of the original time series). In addition if frequency=="detailed", the function reports the frequencies of each of the possible value of the time series when they appear just after the sequence.

Usage

counts(node, frequency = c("detailed", "total"), local = FALSE)

# S3 method for ctx_node
counts(node, frequency = c("detailed", "total"), local = FALSE)

# S3 method for ctx_node_cpp
counts(node, frequency = c("detailed", "total"), local = FALSE)

Arguments

node

a ctx_node object as returned by find_sequence()

frequency

specifies the counts to be included in the result. "total" gives the number of occurrences of the sequence in the original sequence. "detailed" includes in addition the break down of these occurrences into all the possible states.

local

specifies how the counts are computed. When local is FALSE (default value) the counts include both counts that are specific to the context (if any) and counts from the descendants of the context in the tree. When local is TRUE the counts include only the number of times the context appears without being the last part of a longer context.

Value

either an integer when frequency="total" which gives the total number of occurrences of the sequence represented by node or a data.frame with a total column with the same value and a column for each of the possible value of the original time series, reporting counts in each column (see the description above).

See also

contexts() and contexts.ctx_tree()

Examples

dts <- sample(as.factor(c("A", "B", "C")), 100, replace = TRUE)
dts_tree <- ctx_tree(dts, max_depth = 3, min_size = 5)
subseq <- find_sequence(dts_tree, factor(c("A", "A"), levels = c("A", "B", "C")))
if (!is.null(subseq)) {
  counts(subseq)
}
#>   total A B C
#> 1     8 3 2 3