% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/getData.R
\name{getData}
\alias{getData}
\title{Acquire data in a clean format}
\usage{
getData(ts_data, exo_data, input_tz = "GMT",
  date_format = "\%d/\%m/\%Y \%H:\%M", working_tz = "GMT", predict_at = 0)
}
\arguments{
\item{ts_data}{Time-series, as a data frame (DB style: 2 columns, first is date/time,
second is value) or a CSV file}

\item{exo_data}{Exogenous variables, as a data frame or a CSV file; first comlumn is dates,
next block are measurements for the day, and final block are exogenous forecasts}

\item{input_tz}{Timezone in the input files ("GMT" or e.g. "Europe/Paris")}

\item{date_format}{How date/time are stored (e.g. year/month/day hour:minutes;
see \code{strptime})}

\item{working_tz}{Timezone to work with ("GMT" or e.g. "Europe/Paris")}

\item{predict_at}{When does the prediction take place ? Integer, in hours. Default: 0}
}
\value{
An object of class Data
}
\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)
}