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Merging status of a COVLMC context

Source: R/ctx_node_covlmc.R
is_merged.Rd

The function returns TRUE if the context represented by this node is merged with at least another one and FALSE if this is not the case.

Usage

is_merged(node)

Arguments

node

A ctx_node_covlmc object as returned by find_sequence() or contexts.covlmc()

Value

TRUE or FALSE, depending on the nature of the context

Details

When a COVLMC is built on a time series with at least three distinct states, some contexts can be merged: they use the same logistic model, leading to a more parsimonious model. Those contexts are reported individually by functions such as contexts.covlmc(). The present function can be used to detect such merging, while merged_with() can be used to recover the other contexts.

See also

merged_with()

Examples

pc <- powerconsumption[powerconsumption$week == 15, ]
dts <- cut(pc$active_power, breaks = c(0, 1, 2, 3, 8))
dts_cov <- data.frame(day_night = (pc$hour >= 7 & pc$hour <= 17))
m_cov <- covlmc(dts, dts_cov, min_size = 5, alpha = 0.1)
ctxs <- contexts(m_cov)
## no merging
sapply(ctxs, is_merged)
#> [1] FALSE FALSE FALSE FALSE