View source: R/observation_method_filters.R

momentary_time_recording | R Documentation |

Evaluates the presence or absence of the behavior at fixed moments in time.

```
momentary_time_recording(BS, interval_length, summarize = TRUE)
```

`BS` |
object of class behavior_stream |

`interval_length` |
length of interval between moments. |

`summarize` |
logical value indicating whether vector of moments should be summarized by taking their mean. |

If `summarize = FALSE`

, a matrix with length `n_intervals + 1`

and width equal to the number
of behavior streams in `BS`

. If `summarize = TRUE`

, a vector of proportions of length equal to the
number of behavior streams in `BS`

. Note that if `summarize = TRUE`

, the initial state of the
behavior stream is excluded when calculating the mean, so the proportion is based on `n_intervals`

values.

```
BS <- r_behavior_stream(n = 5, mu = 3, lambda = 10,
F_event = F_exp(), F_interim = F_exp(), stream_length = 100)
momentary_time_recording(BS, interval_length = 20, FALSE)
momentary_time_recording(BS, interval_length = 20)
colMeans(momentary_time_recording(BS, 20, FALSE)[-1,])
```

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