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#' Augment the time series signature to the data
#'
#' @param data A time-based tibble or time-series object.
#'
#' @return Returns a `tibble` object describing the timeseries.
#'
#' @details
#' `tk_augment_timeseries_signature` adds the time series signature
#' features including
#' numeric value, differences,
#' year, month, day, day of week, day of month,
#' day of year, hour, minute, second
#' to the input data.
#'
#' @seealso [tk_get_timeseries_signature()], [tk_get_timeseries_summary()]
#'
#' @examples
#' library(tidyquant)
#' library(timekit)
#'
#' FANG %>%
#' filter(symbol == "FB") %>%
#' tk_augment_timeseries_signature()
#'
#' @name tk_augment_timeseries
NULL
#' @export
#' @rdname tk_augment_timeseries
tk_augment_timeseries_signature <- function(data) {
UseMethod("tk_augment_timeseries_signature", data)
}
#' @export
tk_augment_timeseries_signature.data.frame <- function(data) {
date_var <- tk_get_timeseries_variables(data)[[1]]
data <- data %>%
dplyr::arrange_(date_var)
ret_1 <- data
ret_2 <- data %>%
tk_index() %>%
tk_get_timeseries_signature() %>%
dplyr::select(-1)
ret <- dplyr::bind_cols(ret_1, ret_2)
return(ret)
}
#' @export
tk_augment_timeseries_signature.xts <- function(data) {
ret_1 <- data
ret_2 <- data %>%
tk_index() %>%
tk_get_timeseries_signature() %>%
tk_xts(silent = TRUE)
ret <- xts::merge.xts(ret_1, ret_2)
return(ret)
}
#' @export
tk_augment_timeseries_signature.zoo <- function(data) {
ret_1 <- data %>%
tk_xts(silent = TRUE)
ret_2 <- data %>%
tk_index() %>%
tk_get_timeseries_signature() %>%
tk_xts(silent = TRUE)
ret <- xts::merge.xts(ret_1, ret_2) %>%
tk_zoo(silent = TRUE)
return(ret)
}
#' @export
tk_augment_timeseries_signature.default <- function(data) {
stop(paste0("`tk_augment_timeseries_signature` has no method for class ", class(data)[[1]]))
}
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