mcratio {mc2d} | R Documentation |
Provides measures of variability, uncertainty, and both combined for an mc or an mcnode object.
mcratio(x, pcentral=.5, pvar=.975, punc=.975, na.rm=FALSE)
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. |
The function evaluates three ratios for each mcnode. Given:
the (100 * pcentral)th percentile of uncertainty (by default the median) for the (100 * pcentral)th percentile of variability
the (100 * pcentral)th percentile of uncertainty for the (100 * pvar)th percentile of variability
the (100 * punc)th percentile of uncertainty for the (100 * pcentral)th percentile of variability
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.
A matrix.
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.
data(total) mcratio(total, na.rm=TRUE)