Compute daily, month and annual average of several data sets

Question

I have a data frame:

MS_NR SS_NR      DATE       HOUR     VALUE
1 13095010    68 1/01/2014 0:00:00    9,8
2 13095010    68 1/01/2014 1:00:00    8,0
3 13095010            


        

Answer 1

I try this

first using read.table load the file

library(openair)

Temp <- read.table (file, header=TRUE, sep=";",stringsAsFactors = FALSE, dec = ",", na.strings = "NA")

tiempos <- Temp$HOUR
timestamps <- as.POSIXlt(as.POSIXct('1900-1-1', tz='UTC') 
                         + as.difftime(as.character(tiempos))
time <- format(timestamps, format='%H:%M:%S')
date<-paste(Temp[,3], time, sep=" ")
date

Temp_met <- cbind(date, CovTemp[-c(3,4)])
Temp_met$date <- as.POSIXct(strptime(Met_CovTemp$date,
                                                  format = "%d/%m/%Y %H:%M", "GMT"))

## daily mean
Temp_daily <- timeAverage(Met_CovTemp, avg.time = "day")
## weekly mean
Temp_week <- timeAverage(Met_CovTemp, avg.time = "week")
## monthly mean
Temp_month <- timeAverage(Met_CovTemp, avg.time = "month")
## annual mean
Temp_annual <- timeAverage(Met_CovTemp, avg.time = "year")