Description Usage Arguments Details Value Author(s) Examples

Interpret textual data into probability distributions using regular expressions.

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`idata` |
input, |

`N` |
number of iterations |

`rescol` |
name of result column, defaults to "Result" |

`dbug` |
use |

`...` |
excess arguments are ignored |

Interpretation rules are as follows:
Empty space is stripped away.
"X-Y" defines a uniform distribution between X and Y, if Y/X is greater than 100 then logarithmic uniform distribution is assumed.

Negative X and Y are determined by the number of "-": if 2, X is negative; if 3, both are.

"<X" defines a uniform distribution between 0 and X.

"X+-Y" defines a normal distribution with mean X and sd Y.

"X(Y-Z)" defines a normal distribution where Y-Z is assumed the 95-percent confidence interval, from which sd is determined.

If distance from mean to the higher boundary is 50-percent higher than to lower boundary log normality is assumed.

"X:Y:Z" defines a triangular distribution with min, mode and max (can be given in any order).

"X1;X2;...;Xn" defines a random unbiased sample (with replacement) between the given elements.

Numeric values are left as is.

See http://en.opasnet.org/w/Interpret for a table.

See also: http://en.opasnet.org/

Returns a `data.frame`

with an "Iter" column added. Uninterpretable values are converted to `NA`

s.

T. Rintala [email protected]

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