R: Ratio of uncertainty and the variability

mcratio {mc2d} | R Documentation

## 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)

[Package mc2d version 0.1-18 Index]