Description Usage Arguments Details Value See Also Examples

View source: R/quantile.expert.R

Quantile for objects of class `"expert"`

.

1 2 3 |

`x` |
an object of class |

`probs` |
numeric vector of probabilities with values
in |

`smooth` |
logical; when |

`names` |
logical; if true, the result has a |

`...` |
further arguments passed to or from other methods. |

The quantiles are taken directly from the cumulative distribution
function defined in `x`

. Linear interpolation is available for
step functions.

A numeric vector, named if `names`

is `TRUE`

.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
x <- list(E1 <- list(A1 <- c(0.14, 0.22, 0.28),
A2 <- c(130000, 150000, 200000),
X <- c(350000, 400000, 525000)),
E2 <- list(A1 <- c(0.2, 0.3, 0.4),
A2 <- c(165000, 205000, 250000),
X <- c(550000, 600000, 650000)),
E3 <- list(A1 <- c(0.2, 0.4, 0.52),
A2 <- c(200000, 400000, 500000),
X <- c(625000, 700000, 800000)))
probs <- c(0.1, 0.5, 0.9)
true.seed <- c(0.27, 210000)
fit <- expert(x, "cooke", probs, true.seed, 0.03)
quantile(fit) # default probs
quantile(fit, probs = c(0.9, 0.95, 0.99)) # right tail
``` |

```
0% 25% 50% 75% 100%
305000.0 512930.5 563423.2 563423.2 845000.0
90% 95% 99%
628864 628864 628864
```

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