plot_ph {ctsfeatures}

Constructs the pattern histogram associated with a given category of a categorical time series

Description

plot_ph constructs the pattern histogram associated with a given category of a categorical time series.

Usage

plot_ph(
  series,
  category,
  plot = TRUE,
  title = paste0("Pattern histogram (", category, ")"),
  ...
)

Arguments

series

An object of type tsibble (see R package tsibble), whose column named Value contains the values of the corresponding CTS. This column must be of class factor and its levels must be determined by the range of the CTS.

category

The selected category.

plot

Logical. If plot = TRUE (default), returns the pattern histogram. Otherwise, returns the frequencies of cycle lengths associated with the corresponding category.

title

The title of the graph.

...

Additional parameters for the function.

Details

Constructs the pattern histogram for a specific category of a CTS. This graph represents the frequencies of the cycles for the corresponding category according to their length.

Value

The pattern histogram.

Author(s)

Ángel López-Oriona, José A. Vilar

References

Weiß CH (2008). “Visual analysis of categorical time series.” Statistical Methodology, 5(1), 56–71.

Examples

sequence_1 <- GeneticSequences[which(GeneticSequences$Series==1),]
ph <- plot_ph(sequence_1,
category = 'a') # Constructing the pattern histogram
# for the first CTS in dataset GeneticSequences concerning the category 'a'
cycle_lengths <- plot_ph(sequence_1,
category = 'a', plot = FALSE) # Obtaining the frequencies of cycle lengths