given the univariate 'input' timeseries, performs a discrete integration of its non-zero stretches of data.

1 2 3 4 |

`input` |
zoo; an univariate zoo series, indexed on POSIXct timestamps. |

`gap` |
numeric; the size of the minimal gap that interrupts gross stretches. |

`integration.method` |
numeric; refers to the overview presented in http://portal.acm.org/citation.cfm?id=578374, figure 7.2. 1: rectangular (top left), 2: rectangular (midpoint), 3: trapezoid, 4: simpson's.. |

`units` |
character; this is passed to as.double for converting differences in timestamps. all units acceptable there can be used here. |

`with.partials` |
logic; whether the output should contain the partials used in the calculations. in this case, this will be the fifth column in the output. |

`skip.first` |
logic: whether an event at the very first timestamp should be skipped. you might consider an event on the first timestamp as suspect, as you probably missed the true beginning, occurring before the start of the available data. |

`...` |
placeholder for future extensions |

stretches are integrated "net" and "gross", where the gaps between "gross" stretches are at most 'gap' wide.

numeric values thus computed can be seen as events and they are located at the timestamp of the earliest non-zero entry of the stretch. all other entries are 'NA'.

it's best to specify 'data.description$missVal = NULL' when passing the result of 'cumulate.zoo to 'write.PI'. 'NA' events (no event) will be omitted.

1 2 3 4 5 6 7 | ```
input <- c(0, 0, 0, 5, 6, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0)
inputAsDelftfews <- timeseries(20580000, by=5, length.out=length(input), input=input)
cumulate(inputAsDelftfews, gap=3)
inputAsZoo <- zoo(input, order.by = structure(seq(20580000, 20580075, 5), class = c("POSIXct","POSIXt")))
cumulate(inputAsZoo, gap=3)
``` |

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