RaggedInteger Class

This is a ragged array which stores integers (numeric values).

Methods

Public methods

• RaggedInteger$new()

• RaggedInteger$get_values()

• RaggedInteger$get_length()

• RaggedInteger$queue_update()

• RaggedInteger$queue_extend()

• RaggedInteger$queue_shrink()

• RaggedInteger$size()

• RaggedInteger$.update()

• RaggedInteger$.resize()

• RaggedInteger$save_state()

• RaggedInteger$restore_state()

• RaggedInteger$clone()

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Method new()

Create a new RaggedInteger

Usage

RaggedInteger$new(initial_values)

Arguments

initial_values

a vector of the initial values for each individual

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Method get_values()

Get the variable values.

Usage

RaggedInteger$get_values(index = NULL)

Arguments

index

optionally return a subset of the variable vector. If NULL, return all values; if passed an Bitset or integer vector, return values of those individuals.

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Method get_length()

Get the lengths of the indiviudal elements in the ragged array

Usage

RaggedInteger$get_length(index = NULL)

Arguments

index

optionally only get lengths for a subset of persons. If NULL, return all lengths; if passed an Bitset or integer vector, return lengths of arrays for those individuals.

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Method queue_update()

Queue an update for a variable. There are 4 types of variable update:

1. Subset update: The argument index represents a subset of the variable to update. The argument values should be a vector whose length matches the size of index, which represents the new values for that subset.

2. Subset fill: The argument index represents a subset of the variable to update. The argument values should be a single number, which fills the specified subset.

3. Variable reset: The index vector is set to NULL and the argument values replaces all of the current values in the simulation. values should be a vector whose length should match the size of the population, which fills all the variable values in the population

4. Variable fill: The index vector is set to NULL and the argument values should be a single number, which fills all of the variable values in the population.

Usage

RaggedInteger$queue_update(values, index = NULL)

Arguments

values

a list of numeric vectors

index

is the index at which to apply the change, use NULL for the fill options. If using indices, this may be either a vector of integers or an Bitset.

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Method queue_extend()

extend the variable with new values

Usage

RaggedInteger$queue_extend(values)

Arguments

values

to add to the variable

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Method queue_shrink()

shrink the variable

Usage

RaggedInteger$queue_shrink(index)

Arguments

index

a bitset or vector representing the individuals to remove

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Method size()

get the size of the variable

Usage

RaggedInteger$size()

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Method .update()

Usage

RaggedInteger$.update()

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Method .resize()

Usage

RaggedInteger$.resize()

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Method save_state()

save the state of the variable

Usage

RaggedInteger$save_state()

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Method restore_state()

restore the variable from a previously saved state.

Usage

RaggedInteger$restore_state(timestep, state)

Arguments

timestep

the timestep at which simulation is resumed. This parameter's value is ignored, it only exists to conform to a uniform interface with events.

state

the previously saved state, as returned by the save_state method. NULL is passed when restoring from a saved simulation in which this variable did not exist.

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Method clone()

The objects of this class are cloneable with this method.

Usage

RaggedInteger$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.