Extract Features from Functional Intervals — extract_interval

Uses one or more time intervals to compute subject-level summaries from a long-format weather series. This is useful after interval-wise testing has identified periods of functional divergence.

Usage

extract_interval_features(
  data,
  id_col,
  time_col,
  value_col,
  intervals,
  prefix = NULL,
  statistics = "mean"
)

Arguments

data: A data frame in long format.
id_col: Subject identifier column.
time_col: Time column, such as relative day or days after planting.
value_col: Measured series column.
intervals: A data frame with start and end columns.
prefix: Prefix used when naming the resulting features.
statistics: Interval statistics to compute. Use function names such as "mean", "sd", and "IQR", or a named list of custom functions.

Value

A wide data frame with one row per subject and one column per interval-derived feature.