### Class Definition -----------------------------------------------------------
#' Rhythm of events
#'
#' The type of data that internally helps to parse data will be built and
#' validated on this class definition. This allos for understanding of the type
#' of variable (continuous or categorical) and how it is sampled (regular or
#' irregular intervals).
#'
#' @details
#'
#' Both `x` and `t` must be vectors of the same length. `a` is presumed to be
#' only annotation data at certain positions. `f` serves as a marker of
#' frequency or scale of the data (e.g. if its in days, years, months, or a
#' smaller, more continuous scale such as seconds, minutes, etc).
#'
#' @param x Vector of potential data points that reflect (or do not reflect) event data
#'
#' @param t Vector of time points that reflect information about events
#'
#' @param f Frequency of data sampling to help udnerstand the range and scale of
#' `t`, such as if its in calendar years, time stamps, or continuous time
#' intervals.
#'
#' @param a Annotation that labels certain points as of having particular
#' interest, such as event status, censorship, etc.
#'
#' @return A "combined" record of the `rhythm` class that has validated event
#' and time properties.
#' @name rhythm
#' @export
rhythm <- function(x, t, f, a, ...) {
# Very simply will return an enframed vector series
obj <- data.frame(
data_point = x,
time_point = t,
annotation = a
)
# Tentative new class
structure(
obj,
time_scale = f,
class = c("rhythm_rcrd", class(obj))
)
}
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