#' read_Milan
#'
#' read station pressure at Milan station
#'
#' @param infile input file name
#'
#' @keywords util
#' @export
read_Milan <- function(infile){
# read in data
rawdata <- read.table(infile, skip=0, header=FALSE, stringsAsFactors=FALSE, na.strings=-999.9)
names(rawdata) <- c('Day', 'Month', 'Year', 'Time1', 'P1', 'Time2', 'P2')
rawdata$Time1 <- 'sunrise'
rawdata$Time2 <- 'sunrise+12'
## extract variable names to melt
rawnames <- names(rawdata)
meltnames <- setdiff(rawnames, c('Year', 'Month', 'Day'))
## only replace first number (time indicator, less than nine observing times)
meltnames <- unique(sub('[0-9]', '', meltnames))
## run the melt process
rmelt <- list()
for (mn in meltnames){
mnames <- c('Year', 'Month', 'Day', rawnames[grep(paste0('^', gsub('\\.', '.\\.', mn)), rawnames)])
## melt the dataframe
mtmp <- melt(rawdata[,mnames], mnames[1:3], value.name=mn)
## extract time index (remove everything after the dot and all characters before)
vartmp <- gsub('\\..$', '', mtmp$variable)
vartxt <- unique(sub('[0-9]$', '', vartmp))
if (length(vartxt) > 1) print(vartxt)
mtmp$Time.i <- as.numeric(gsub(vartxt, '', vartmp))
rmelt[[mn]] <- mtmp[,-grep('variable', names(mtmp))]
rm(mtmp, vartxt, vartmp, mnames)
}
## merge to dataframe
out <- Reduce(merge, rmelt)
out$P.units <- 'hPa'
out$Tcorr <- 0
out$Station <- 'Milan'
return(out)
}
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