#'
#' @description Take in input data frames and/or files containing raw data, and timezones, and
#' output a Data object, roughly corresponding to a list where each cell contains all value
-#' for one day (see \code{?Data}). Current limitation: series (in working_tz) must start at
-#' right after midnight (to keep in sync with exogenous vars)
+#' for one day (see \code{?Data}).
#'
#' @param ts_data Time-series, as a data frame (DB style: 2 columns, first is date/time,
#' second is value) or a CSV file
#' @param predict_at When does the prediction take place ? Integer, in hours. Default: 0
#' @param limit Number of days to extract (default: Inf, for "all")
#'
-#' @return An object of class Data
+#' @return A list where data[[i]] contains
+#' \itemize{
+#' \item time: vector of times
+#' \item centered_serie: centered serie
+#' \item level: corresponding level
+#' \item exo: exogenous variables
+#' \item exo_hat: predicted exogenous variables
+#' }
#'
#' @examples
#' ts_data = read.csv(system.file("extdata","pm10_mesures_H_loc.csv",package="talweg"))
#' exo_data = read.csv(system.file("extdata","meteo_extra_noNAs.csv",package="talweg"))
-#' getData(ts_data, exo_data, input_tz="Europe/Paris", working_tz="Europe/Paris", limit=150)
+#' data = getData(ts_data, exo_data, limit=120)
#' @export
getData = function(ts_data, exo_data, input_tz="GMT", date_format="%d/%m/%Y %H:%M",
working_tz="GMT", predict_at=0, limit=Inf)
line = 1 #index in PM10 file (24 lines for 1 cell)
nb_lines = nrow(ts_df)
nb_exos = ( ncol(exo_df) - 1 ) / 2
- data = Data$new()
+ data = list()
i = 1 #index of a cell in data
while (line <= nb_lines)
{
exo_hat = as.data.frame( exo_df[i,(1+nb_exos+1):(1+2*nb_exos)] )
level = mean(serie, na.rm=TRUE)
centered_serie = serie - level
- data$append(time, centered_serie, level, exo, exo_hat)
+ data[[i]] = list("time"=time, "centered_serie"=centered_serie, "level"=level,
+ "exo"=exo, "exo_hat"=exo_hat)
if (i >= limit)
break
i = i + 1
}
- if (length(data$getCenteredSerie(1)) < length(data$getCenteredSerie(1)))
- data$removeFirst()
- if (length(data$getCenteredSerie( data$getSize() )) <
- length(data$getCenteredSerie( data$getSize()-1 )))
+ start = 1
+ end = length(data)
+ if (length(data[[1]]$centered_serie) < length(data[[2]]$centered_serie))
+ start = 2
+ if (length(data[[length(data)]]$centered_serie) <
+ length(data[[length(data)-1]]$centered_serie))
{
- data$removeLast()
+ end = end-1
}
-
+ if (start>1 || end<length(data))
+ data = data[start:end]
data
}