mc2d (version 0.2.0)

mcratio: 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)

Value

A matrix.

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.

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)