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#' Pad signal with zeros.
#'
#' The function adds zeros to the input vector to reach a length,
#' corresponding to the next higher power of two.
#'
#' @param data \code{eseis} object, \code{numeric} vector or list of
#' objects, data set to be processed.
#'
#' @return \code{Numeric} vector or list of vectors, signal vector with
#' added zeros.
#'
#' @author Michael Dietze
#'
#' @keywords eseis
#'
#' @examples
#'
#' ## load example data set
#' data(rockfall)
#'
#' ## pad with zeros
#' rockfall_pad <- signal_pad(data = rockfall_eseis)
#'
#' ## compare lengths
#' rockfall_eseis$meta$n
#' rockfall_pad$meta$n
#'
#' @export signal_pad
signal_pad <- function(
data
) {
## check data structure
if(class(data)[1] == "list") {
## apply function to list
data_out <- lapply(X = data,
FUN = eseis::signal_pad)
## return output
return(data_out)
} else {
## get start time
eseis_t_0 <- Sys.time()
## collect function arguments
eseis_arguments <- list(data = "")
## check if input object is of class eseis
if(class(data)[1] == "eseis") {
## set eseis flag
eseis_class <- TRUE
## store initial object
eseis_data <- data
## extract signal vector
data <- eseis_data$signal
} else {
## set eseis flag
eseis_class <- FALSE
}
## get number of samples to reach next highest power two length
n <- stats::nextn(n = length(data), factors = 2)
## create output vector
data_out <- rep(x = 0, times = n)
## add original values
data_out[1:length(data)] <- data
## optionally rebuild eseis object
if(eseis_class == TRUE) {
## assign aggregated signal vector
eseis_data$signal <- data_out
## update sample value
eseis_data$meta$n <- length(data_out)
## calculate function call duration
eseis_duration <- as.numeric(difftime(time1 = Sys.time(),
time2 = eseis_t_0,
units = "secs"))
## update object history
eseis_data$history[[length(eseis_data$history) + 1]] <-
list(time = Sys.time(),
call = "signal_pad()",
arguments = eseis_arguments,
duration = eseis_duration)
names(eseis_data$history)[length(eseis_data$history)] <-
as.character(length(eseis_data$history))
## assign eseis object to output data set
data_out <- eseis_data
}
## return output
return(data_out)
}
}
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