mcratio: Ratio of uncertainty and the variability

In mc2d: Tools for Two-Dimensional Monte-Carlo Simulations

Ratio of uncertainty and the variability

Description

Provides measures of variability, uncertainty, and both combined for an ‘⁠mc⁠’ or an ‘⁠mcnode⁠’ object.

Usage

mcratio(x, pcentral=.5, pvar=.975, punc=.975, na.rm=FALSE)

Arguments

x	an ‘⁠mc⁠’ or an ‘⁠mcnode⁠’ object
pcentral	the quantile for the central tendency.

.

pvar	the quantile for the measure of variability.
punc	the quantile for the measure of uncertainty.
na.rm	a logical value indicating whether NA values should be stripped before the computation proceeds.

Details

The function evaluates three ratios for each ‘⁠mcnode⁠’. Given:

A

the ‘⁠(100 * pcentral)⁠’th percentile of uncertainty (by default the median) for the ‘⁠(100 * pcentral)⁠’th percentile of variability

B

the ‘⁠(100 * pcentral)⁠’th percentile of uncertainty for the ‘⁠(100 * pvar)⁠’th percentile of variability

C

the ‘⁠(100 * punc)⁠’th percentile of uncertainty for the ‘⁠(100 * pcentral)⁠’th percentile of variability

D

the ‘⁠(100 * punc)⁠’th percentile of uncertainty for the ‘⁠(100 * pvar)⁠’th percentile of variability

The following ratio are estimated

• Variability Ratio: B / A

• Uncertainty Ratio: C / A

• Overall Uncertainty Ratio: D / A

For multivariate nodes, the statistics are evaluate on each dimension or on statistics according to the corresponding ‘⁠outm⁠’ value.

Value

A matrix.

References

Ozkaynak, H., Frey, H.C., Burke, J., Pinder, R.W. (2009) "Analysis of coupled model uncertainties in source-to-dose modeling of human exposures to ambient air pollution: A PM2.5 case study", Atmospheric environment, Volume 43, Issue 9, March 2009, Pages 1641-1649.

Examples

data(total)
mcratio(total, na.rm=TRUE)

mc2d documentation built on June 22, 2024, 10:54 a.m.