at_intervals: Values of arbitrary time series at regular intervals.
In NickPTaylor/pfatools: Plant Feedback Analysis Tools

Description Usage Arguments Details Value See Also Examples

Time series are assumed to be structured as a data frame with one column being time stamps and the remaining columns being features that are observed. In general, features are observed irregularly and asynchronously. The purpose of this function is derive a regular sequenced, synchronised time series.

1	at_intervals(x, ..., na.rm = TRUE)

`x`	A data frame
`...`	Arguments passed to `seq` method
`na.rm`	A logical scalar. Defaults to TRUE.

The function is designed to be used with the dplyr family.

A data frame

seq

 x <- tibble::tribble(
   ~ts,                   ~x, ~y, ~z,
 #|----------------------|---|---|---|
   "2016-01-01 00:00:00", NA, 1,  1,
   "2016-01-01 00:05:00", 2,  NA, NA,
   "2016-01-01 00:10:00", 3,  3,  NA
   )

 x <- dplyr::mutate(x, ts = lubridate::ymd_hms(ts))

 at_intervals(x, by = "2 min", na.rm = FALSE)