Description Usage Arguments Details Value Author(s) Examples

Conducts a "stochastic contribution analysis" by calculating the change in propagated uncertainty when each of the simulated variables is kept constant at its mean, i.e. the uncertainty is removed.

1 | ```
stochContr(prop, plot = TRUE)
``` |

`prop` |
a |

`plot` |
logical. If |

This function takes the Monte Carlo simulated data *X_n* from a `propagate`

object (`...$datSIM`

), sequentially substitutes each variable *β_i* by its mean *\bar{β_i}* and then re-evaluates the output distribution *Y_n = f(β, X_n)*. Optional boxplots are displayed that compare the original *Y_n\mathrm{(orig)}* to those obtained from removing *σ* from each *β_i*. Finally, the relative contribution *C_i* for all *β_i* is calculated by *C_i = σ(Y_n\mathrm{(orig)})-σ(Y_n)*, and divided by its sum so that *∑_{i=1}^n C_i = 1*.

The relative contribution *C_i* for all variables.

Andrej-Nikolai Spiess

1 2 3 4 5 6 7 |

propagate documentation built on May 7, 2018, 1:03 a.m.

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