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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