Commit | Line | Data |
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3a38473a BA |
1 | #' getData |
2 | #' | |
3 | #' Acquire data as a Data object; see ?Data. | |
4 | #' | |
5 | #' Since series are given in columns (database format), this function builds series one | |
6 | #' by one and incrementally grows a Data object which is finally returned. | |
7 | #' | |
8 | #' @param ts_data Time-series, as a data frame (DB style: 2 columns, first is date/time, | |
9 | #' second is value) or a CSV file. | |
10 | #' @param exo_data Exogenous variables, as a data frame or a CSV file; first column is | |
11 | #' dates, next block are measurements for the day, and final block are exogenous | |
12 | #' forecasts (for the same day). | |
13 | #' @param date_format How date/time are stored (e.g. year/month/day hour:minutes; | |
14 | #' see ?strptime) | |
15 | #' @param limit Number of days to extract (default: Inf, for "all") | |
16 | #' | |
17 | #' @return An object of class Data | |
18 | #' | |
19 | #' @examples | |
20 | #' ts_data = read.csv(system.file("extdata","pm10_mesures_H_loc.csv",package="talweg")) | |
21 | #' exo_data = read.csv(system.file("extdata","meteo_extra_noNAs.csv",package="talweg")) | |
22 | #' data = getData(ts_data, exo_data, limit=120) | |
23 | #' @export | |
24 | getData = function(ts_data, exo_data, date_format="%d/%m/%Y %H:%M", limit=Inf) | |
25 | { | |
26 | # Sanity checks (not full, but sufficient at this stage) | |
27 | if ( (!is.data.frame(ts_data) && !is.character(ts_data)) || | |
28 | (!is.data.frame(exo_data) && !is.character(exo_data)) ) | |
29 | stop("Bad time-series / exogenous input (data frame or CSV file)") | |
30 | if (is.character(ts_data)) | |
31 | ts_data = ts_data[1] | |
32 | if (is.character(exo_data)) | |
33 | exo_data = exo_data[1] | |
34 | if (!is.character(date_format)) | |
35 | stop("Bad date_format (character)") | |
36 | date_format = date_format[1] | |
37 | if (!is.numeric(limit) || limit < 0) | |
38 | stop("limit: positive integer") | |
39 | ||
40 | ts_df = | |
41 | if (is.character(ts_data)) | |
42 | read.csv(ts_data) | |
43 | else | |
44 | ts_data | |
45 | # Convert to GMT (pretend it's GMT; no impact) | |
46 | dates_POSIXlt = strptime(as.character(ts_df[,1]), date_format, tz="GMT") | |
47 | ts_df[,1] = format(as.POSIXct(dates_POSIXlt, tz="GMT"), tz="GMT", usetz=TRUE) | |
48 | ||
49 | exo_df = | |
50 | if (is.character(exo_data)) | |
51 | read.csv(exo_data) | |
52 | else | |
53 | exo_data | |
54 | # Times in exogenous variables file are ignored: no conversions required | |
55 | ||
56 | line = 1 #index in PM10 file (24 lines for 1 cell) | |
57 | nb_lines = nrow(ts_df) | |
58 | nb_exos = ( ncol(exo_df) - 1 ) / 2 | |
59 | data = Data$new() | |
60 | i = 1 #index of a cell in data | |
61 | while (line <= nb_lines) | |
62 | { | |
63 | time = c() | |
64 | serie = c() | |
65 | level_hat = c() | |
66 | repeat | |
67 | { | |
68 | { | |
69 | time = c(time, ts_df[line,1]) | |
70 | serie = c(serie, ts_df[line,2]) | |
71 | level_hat = c(level_hat, #if data file is incomplete... | |
72 | ifelse(ncol(ts_df) > 2, ts_df[line,3], mean(serie,na.rm=TRUE))) | |
73 | line = line + 1 | |
74 | }; | |
75 | if (line >= nb_lines + 1 | |
76 | || as.POSIXlt(ts_df[line-1,1],tz="GMT")$hour == 0) | |
77 | { | |
78 | break | |
79 | } | |
80 | } | |
81 | ||
82 | data$append(time=time, value=serie, level_hat=level_hat, | |
83 | exo=exo_df[i,2:(1+nb_exos)], exo_hat=exo_df[i,(1+nb_exos+1):(1+2*nb_exos)]) | |
84 | if (i >= limit) | |
85 | break | |
86 | i = i + 1 | |
87 | } | |
88 | data | |
89 | } |