Description Usage Arguments Details Value Examples

Calculate an empirical cumulative distribution function based on a sample `x`

and optionally a vector `w`

of weights.

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`x` |
Numeric vector containing the sample. Alternatively, if |

`w` |
Optional. Numeric vector containing the weights of each value in |

`...` |
Further parameters. |

The weights vector `w`

can contain the counts of each distinct value in `x`

, this is the most natural use case.
In general the weights are describing the jumps of the final ecdf. Normalization is handled internally.

If `x`

contains duplicates, corresponding values in `w`

will be summed up.
Only positive weights are allowed. Elements in `x`

with non-positive weights will be ignored.

A function of class `rkt_ecdf`

.

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