projects / talweg.git / blame
| Commit | Line | Data |
|---|---|---|
| 3d69ff21 BA |
1 | meteo_df = read.csv("meteo.csv") |
| 2 | ||
| da7f46b8 BA |
3 | #inspiration |
| 4 | #http://stackoverflow.com/questions/8214303/conditional-replacement-of-values-in-a-data-frame | |
| 5 | ||
| 3d69ff21 BA |
6 | meteo_df$Season = 0 |
| 7 | meteo_df$Week = 0 | |
| 8 | meteo_df$Pollution = -1 | |
| 9 | ||
| da7f46b8 BA |
10 | #Need to load and aggregate PM10 by days: use getData() from package |
| 11 | data = getData(..., predict_at=0) #TODO: | |
| 3d69ff21 | 12 | |
| da7f46b8 | 13 | for (i in 1:nrow(meteo_df)) |
| 3d69ff21 | 14 | { |
| da7f46b8 | 15 | pm10_level = data$getLevel(i) |
| 3d69ff21 BA |
16 | #Fill Pollution column: -1 if no info, 0 to 2 for pollution level |
| 17 | if (!is.nan(pm10_level)) | |
| 18 | { | |
| 19 | if (pm10_level < 30) | |
| 20 | meteo_df$Pollution[i] = 0 | |
| 21 | else if (pm10_level <= 50) | |
| 22 | meteo_df$Pollution[i] = 1 | |
| 23 | else #pm10 > 50 | |
| 24 | meteo_df$Pollution[i] = 2 | |
| 25 | } | |
| 26 | ||
| 27 | #Also fill season + days of week variables | |
| 28 | meteo_df$Season[i] = ifelse( | |
| 29 | strsplit(as.character(meteo_df$Date[i]),'/')[[1]][1] %in% c("4","5","6","7","8"), | |
| 30 | 1, 0) | |
| 31 | current_datetime = strptime(as.character(meteo_df$Date[i]), "%m/%d/%Y", tz="GMT") | |
| 32 | meteo_df$Week[i] = ifelse(current_datetime$wday %in% c(6,0), 0, 1) | |
| 33 | } | |
| 34 | ||
| 3d69ff21 BA |
35 | #Finally write new data |
| 36 | write.csv(meteo_df, file="meteo_extra.csv", row.names=FALSE) |