#' @return An object of class Data
#'
#' @export
-getData = function(ts_data, exo_data,
- input_tz="GMT", date_format="%d/%m/%Y %H:%M", working_tz="GMT", predict_at=0)
+getData = function(ts_data, exo_data, input_tz="GMT", date_format="%d/%m/%Y %H:%M",
+ working_tz="GMT", predict_at=0, limit=Inf)
{
# Sanity checks (not full, but sufficient at this stage)
if (!is.character(input_tz) || !is.character(working_tz))
stop("Bad timezone (see ?timezone)")
input_tz = input_tz[1]
working_tz = working_tz[1]
- if (!is.data.frame(ts_data) && !is.character(ts_data))
- stop("Bad time-series input (data frame or CSV file)")
+ if ( (!is.data.frame(ts_data) && !is.character(ts_data)) ||
+ (!is.data.frame(exo_data) && !is.character(exo_data)) )
+ stop("Bad time-series / exogenous input (data [frame] or CSV file)")
if (is.character(ts_data))
ts_data = ts_data[1]
+ if (is.character(exo_data))
+ exo_data = exo_data[1]
predict_at = as.integer(predict_at)[1]
if (predict_at<0 || predict_at>23)
stop("Bad predict_at (0-23)")
ts_df =
if (is.character(ts_data)) {
- read.csv(ts_data)
+ if (ts_data %in% data(package="talweg")$results[,"Item"])
+ ts_data =
+
+
+
+
+ ############CONTINUE: http://r-pkgs.had.co.nz/data.html
+
+
+
+
+
+ read.csv(ts_data)
} else {
ts_data
}
break
}
-##TODO: fix note comment ! --> triche: exo contient les mesures du jour, pas forcément toutes available
- # NOTE: if predict_at does not cut days at midnight,
- # for the exogenous to be synchronized they need to be shifted
- if (predict_at > 0)
- {
- exo_hat = as.data.frame(exo_df[max(1,i-1),(1+nb_exos+1):(1+2*nb_exos)])
- exo = as.data.frame(exo_df[max(1,i-1),2:(1+nb_exos)])
- }
- else
- {
- exo_hat = as.data.frame(exo_df[i,(1+nb_exos+1):(1+2*nb_exos)])
- exo = as.data.frame(exo_df[i,2:(1+nb_exos)])
- }
- i = i + 1
- #center data
+ # NOTE: if predict_at does not cut days at midnight, exogenous vars need to be shifted
+ exo_hat = as.data.frame( exo_df[
+ ifelse(predict_at>0,max(1,i-1),i) , (1+nb_exos+1):(1+2*nb_exos) ] )
+ exo = as.data.frame( exo_df[ ifelse(predict_at>0,max(1,i-1),i) , 2:(1+nb_exos) ] )
level = mean(serie, na.rm=TRUE)
centered_serie = serie - level
-# data$append(time, centered_serie, level, exo_hat, exo_Jm1) #TODO: slow: why ?
+ #data$append(time, centered_serie, level, exo_hat, exo_Jm1) #too slow; TODO: use R6 class
data[[length(data)+1]] = list("time"=time, "serie"=centered_serie, "level"=level,
"exo_hat"=exo_hat, "exo"=exo)
+ if (i >= limit)
+ break
+ i = i + 1
}
new("Data",data=data)
}