resample: Resample data
In jmackie4/elpatron: Bicycling Data Analysis with R

Description Usage Arguments Details Value Examples

A useful function for working with data that aren't sampled at regular intervals and(or) contain gaps. This can present issues when, for example, trying to apply time-windowed rolling operations.

1	resample(.data, time_column = "time.s", Hz = 1L, fill = 0L)

`.data`	data.frame; the data to be resampled on the basis of `time_column`.
`time_column`	string; identifier for the column in `data` that gives (elapsed) time values. Right-hand-sided formulas will be deparsed, otherwise this argument is passed to `'[['` as-is.
`Hz`	numeric (scalar); the desired sampling frequency.
`fill`	the value with which to "fill" new rows in the returned data. For most purposes this should be either `NA` or a numeric value (e.g. 0).

For time-windowed rolling operations, fill should logically be set to 0L; the use of NAs could generate large runs of NAs.

a resampled tbl_df, with a new Hz attribute added.

data <- data.frame(
  timer.s = 1:500,
  x = rnorm(500, 500, 30),
  y = rnorm(500, 1000, 300)
)
gappy_data <- data[sort(sample(1:500, 250)), ]
gappy_data %>% resample(~timer.s, Hz = 1, fill = NA) %>% head(20)