#' Import raw spectrace activity data
#'
#' This function imports the raw activity data of the spectrace sensors. It assumes
#' that the data is stored in CSV format.
#'
#' @param actFile Path to the file containing the activity data.
#' @param tz Time zone to be used for datetime conversion. See supported time zones
#' by calling \code{\link[base]{OlsonNames}}.
#' @param serial_number Serial number of spectrace device. Defaults to NULL.
#'
#' @return Data frame.
#' @export
#'
#' @examples
spectrace_import_activity <- function(actFile, tz, serial_number = NA) {
# Get file type (CSV or TSV)
if (endsWith(actFile, ".csv")) {
sep <- ","
} else if (endsWith(actFile, ".tsv")) {
sep <- "\t"
} else {
stop("Unsupported file format! Must be CSV or TSV.")
}
# Get header
header <- readr::read_delim(
actFile,
col_names = FALSE,
col_types = readr::cols(.default = "c"),
n_max = 3,
delim = sep,
skip_empty_rows = FALSE
)
# Check type of file (including header or not)
if (header$X1[1] == "SERIAL") {
serial_number <- header$X2[1]
actData <- utils::read.delim(
actFile,
skip = 5,
header = FALSE,
sep = sep
) %>% dplyr::select(c(1, 2))
}
# Version 3 file
else if (header$X1[1] == "Raw Spectrace Data") {
serial_number <- header$X2[3]
actData <- utils::read.delim(
actFile,
skip = 6,
header = FALSE,
sep = sep
) %>% dplyr::select(c(1, 2))
} else {
# Check whether serial number available
if (is.na(serial_number)) {
warning("No serial number specified!")
}
actData <- utils::read.delim(
actFile,
header = FALSE,
sep = sep
) %>% dplyr::select(c(1, 2))
}
col_names <- c("unix", "activity")
names(actData) <- col_names
actData <-
actData %>%
dplyr::mutate(
datetime = lubridate::as_datetime(unix, tz = tz),
serial = serial_number
) %>%
dplyr::relocate(serial, datetime)
# Return
return(actData)
}
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