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#' Transform Codes to Start-End Times
#'
#' Transforms the range coding structure(s) from \code{\link[qdap]{cm_time.temp}}
#' (in list format) into a data frame of start and end times in long format.
#'
#' @param \ldots List object(s) in the form generated by
#' \code{\link[qdap]{cm_time.temp}}.
#' @param v.name An optional name for the column created for the list.var
#' argument
#' @param list.var logical. If \code{TRUE} creates a column for the data frame
#' created by each time.list passed to \code{cm_t2l}.
#' @param debug logical. If \code{TRUE} debugging mode is on.
#' \code{\link[qdap]{cm_time2long}} will return possible errors in time span
#' inputs.
#' @param object A list of list object(s) generated by
#' \code{\link[qdap]{cm_time.temp}}.
#' @return Generates a dataframe of start and end times for each code.
#' @seealso
#' \code{\link{cm_df2long}},
#' \code{\link{cm_time.temp}}
#' @references Miles, M. B. & Huberman, A. M. (1994). An expanded sourcebook:
#' Qualitative data analysis. 2nd ed. Thousand Oaks, CA: SAGE Publications.
#' @export
#' @importFrom qdapTools sec2hms
#' @examples
#' \dontrun{
#' x <- list(
#' transcript_time_span = qcv(00:00 - 1:12:00),
#' A = qcv(terms = "2.40:3.00, 5.01, 6.02:7.00, 9.00"),
#' B = qcv(terms = "2.40, 3.01:3.02, 5.01, 6.02:7.00,
#' 9.00, 1.12.00:1.19.01"),
#' C = qcv(terms = "2.40:3.00, 5.01, 6.02:7.00, 9.00, 17.01")
#' )
#' (dat <- cm_time2long(x))
#' plot(dat)
#'
#' bar1 <- list(
#' transcript_time_span = qcv(00:00 - 1:12:00),
#' A = qcv(terms = "2.40:3.00, 5.01, 6.02:7.00, 9.00"),
#' B = qcv(terms = "2.40, 3.01:3.02, 5.01, 6.02:7.00, 9.00,
#' 1.12.00:1.19.01"),
#' C = qcv(terms = "2.40:3.00, 5.01, 6.02:7.00, 9.00, 16.25:17.01")
#' )
#'
#' bar2 <- list(
#' transcript_time_span = qcv(00:00 - 1:12:00),
#' A = qcv(terms = "2.40:3.00, 5.01, 6.02:7.00, 9.00"),
#' B = qcv(terms = "2.40, 3.01:3.02, 5.01, 6.02:7.00, 9.00,
#' 1.12.00:1.19.01"),
#' C = qcv(terms = "2.40:3.00, 5.01, 6.02:7.00, 9.00, 17.01")
#' )
#'
#' ## General ldots Approach
#' cm_time2long(bar1)
#' cm_time2long(bar1, bar2, v.name="time")
#'
#' ## Specify `object` Approach
#' cm_time2long(object=list(bar1=bar1))
#' cm_time2long(object=list(bar1=bar1, bar2=bar2), v.name="time")
#' cm_time2long(object=list(a=bar1, b=bar2), v.name="time")
#' }
cm_time2long <-
function(..., v.name = "variable", list.var = TRUE, debug = TRUE,
object = NULL){
if(!is.null(object)){
L1 <- object
objs <- names(L1)
}else{
mf <- match.call(expand.dots = FALSE)
objs <- as.character(mf[[2]])
L1 <- lapply(objs, get)
names(L1) <- objs
}
if(debug){
x <- suppressMessages(lapply(L1, function(x) {
cm_debug(x)
}))
m <- x[!sapply(x, is.null)]
if (!identical(as.character(m), character(0))) {
message("Warning: possible errors found:\n")
print(m); stop("Check warnings")
}
}
L1 <- lapply(L1, subout)
L2 <- lapply(L1, cm_t2l, list.var = FALSE)
### added 10-12-13 and added to class
spns <- sapply(L2, function(x) {
as.numeric(gsub("tspan_", "", class(x)[grepl("tspan_", class(x))]))
})
spns <- paste(spns, collapse = "||")
### added 10-12-13
if (list.var) {
L2 <- lapply(seq_along(L2), function(i) data.frame(L2[[i]],
VAR = objs[i], stringsAsFactors = FALSE))
}
DF <- data.frame(do.call(rbind, L2), row.names = NULL, stringsAsFactors = FALSE)
if (list.var) {
colnames(DF)[ncol(DF)] <- v.name
}
class(DF) <- c("cmspans", "cmtime", "cmtime2long", paste0("vname_", v.name),
class(DF), paste0("spans_", spns))
DF
}
## helper to fix poorly formatted overall time span
subout <- function(x) {
x[[1]] <- Trim(x[[1]])
if(length(x[[1]]) == 3 && x[[1]][1] == "-") {
y <- x[[1]][c(2, 1, 3)]
} else {
y <- x[[1]]
}
x[[1]] <- unlist(strsplit(gsub("-" , "|-|", paste(y, collapse = "")), "\\|"))
x
}
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