chance_event {decisionSupport}

simulate occurrence of random events

Description

In many simulations, certain events can either occur or not, and values for dependent variables can depend on which of the cases occurs. This function randomly simulates whether events occur and returns output values accordingly. The outputs can be single values or series of values, with the option of introducing artificial variation into this dataset.

Usage

chance_event(
  chance,
  value_if = 1,
  value_if_not = 0,
  n = 1,
  CV_if = 0,
  CV_if_not = CV_if,
  one_draw = FALSE
)

Arguments

chance

probability that the risky event will occur (between 0 and 1)

value_if

output value in case the event occurs. This can be either a single numeric value or a numeric vector. Defaults to 1.

value_if_not

output value in case the event does not occur. This can be either a single numeric value or a numeric vector. If it is a vector, it must have the same length as value_if

n

number of times the risky event is simulated. This is ignored if length(value_if)>1.

CV_if

coefficient of variation for introducing randomness into the value_if data set. This defaults to 0 for no artificial variation. See documentation for the vv function for details.

CV_if_not

coefficient of variation for introducing randomness into the value_if_not data set. This defaults to the value for CV_if. See documentation for the vv function for details.

one_draw

boolean coefficient indicating if event occurrence is determined only once (TRUE) with results applying to all elements of the results vector, or if event occurrence is determined independently for each element (FALSE; the default)

Value

numeric vector of the same length as value_if or, if length(value_if)==1 of length n, containing outputs of a probabilistic simulation that assigns value_if if the event occurs, or value_if_not if is does not occur (both optionally with artificial variation)

Author(s)

Eike Luedeling

Examples

chance_event(0.6,6)
 
chance_event(.5,c(0,5),c(5,6))

chance_event(chance=0.5,
             value_if=1,
             value_if_not=5,
             n=10,
             CV_if=20)