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1 | % Generated by roxygen2: do not edit by hand |
2 | % Please edit documentation in R/getData.R | |
3 | \name{getData} | |
4 | \alias{getData} | |
5 | \title{Acquire data in a clean format} | |
6 | \usage{ | |
7 | getData(ts_data, exo_data, input_tz = "GMT", | |
8 | date_format = "\%d/\%m/\%Y \%H:\%M", working_tz = "GMT", predict_at = 0) | |
9 | } | |
10 | \arguments{ | |
11 | \item{ts_data}{Time-series, as a data frame (DB style: 2 columns, first is date/time, | |
12 | second is value) or a CSV file} | |
13 | ||
14 | \item{exo_data}{Exogenous variables, as a data frame or a CSV file; first comlumn is dates, | |
15 | next block are measurements for the day, and final block are exogenous forecasts} | |
16 | ||
17 | \item{input_tz}{Timezone in the input files ("GMT" or e.g. "Europe/Paris")} | |
18 | ||
19 | \item{date_format}{How date/time are stored (e.g. year/month/day hour:minutes; | |
20 | see \code{strptime})} | |
21 | ||
22 | \item{working_tz}{Timezone to work with ("GMT" or e.g. "Europe/Paris")} | |
23 | ||
24 | \item{predict_at}{When does the prediction take place ? Integer, in hours. Default: 0} | |
25 | } | |
26 | \value{ | |
27 | An object of class Data | |
28 | } | |
29 | \description{ | |
30 | Take in input data frames and/or files containing raw data, and timezones, and | |
31 | output a Data object, roughly corresponding to a list where each cell contains all value | |
32 | for one day (see \code{?Data}). Current limitation: series (in working_tz) must start at | |
33 | right after midnight (to keep in sync with exogenous vars) | |
34 | } | |
35 |