hts (version 4.0)

hts: Create a hierarchical time series

Description

Method for creating hierarchical time series.

Usage

hts(y, nodes, bnames = colnames(y), characters)

Arguments

y

A matrix or multivariate time series contain the bottom level series.

nodes

A list contains the number of child nodes for each level except for the bottom one. It indicates the hierarchical structure. The default is a simple hierarchy with only 2 levels (i.e. total and bottom).

bnames

The names of the bottom time series.

characters

A set of integers indicate how to split the bnames in order to construct labels.

Value

• bts
  Multivariate time series containing the bottom level series
• nodes
  Information about the nodes of a hierarchical time series
• labels
  Information about the labels that are used for plotting.

References

R. J. Hyndman, R. A. Ahmed, G. Athanasopoulos and H.L. Shang (2011) Optimal combination forecasts for hierarchical time series. Computational Statistics and Data Analysis, 55(9), 2579--2589. http://robjhyndman.com/papers/hierarchical/

See Also

accuracy.gts, forecast.gts, plot.gts

Examples

# Example 1
# The hierarchical structure looks like one root node associated with 2 child
# nodes. These 2 child nodes have 3 and 2 sub-child nodes respectively.
nodes <- list(2, c(3, 2))
abc <- ts(5 + matrix(sort(rnorm(500)), ncol = 5, nrow = 100))
x <- hts(abc, nodes)

# Example 2
# Suppose we've got the bottom names that can be useful for constructing labels
# at higher levels. We need to specify how to split them in the argument
# "characters".
nodes <- list(2, c(2, 2), c(3, 2, 3, 2))
abc <- ts(5 + matrix(sort(rnorm(1000)), ncol = 10, nrow = 100))
colnames(abc) <- c("A10A", "A10B", "A10C", "A20A", "A20B",
                   "B30A", "B30B", "B40A", "B40B", "B40C")
y <- hts(abc, nodes, characters = c(1, 2, 1))

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