clean_answers: Clean extreme answers

In collector: Quantified Risk Assessment Data Collection

Description

You may wish to apply some sanity checking bounds on the responses from subject matter experts. This function applies a set of predefined transformations to the scenario and capability responses. Review these assumptions carefully before using them in your own analysis.

Usage

clean_answers(scenario_answers, capability_answers)

Arguments

scenario_answers	Scenario answers dataframe.
capability_answers	Capability answers dataframe.

Details

Make the following assumptions/modifications

• minimum capacity is 5% (we've thought about it - 90% CI)

• maximum capacity is 95% (we're just about the best - 90% CI)

• minimum loss is 1000 dollars (both low and high)

• scale all impact into thousands of dollars (make normal decomposition easier, and is in line of the scale of a strategic analysis)

• set a minimum frequency of once per 10 years (0.1)

Value

A list of modified scenarios and capabilities.

Examples

data(mc_capability_answers)
data(mc_scenario_answers)
clean_answers(mc_scenario_answers, mc_capability_answers)

collector documentation built on Feb. 22, 2020, 1:11 a.m.