Given a series of Dates, for example,
w = read.table(...)
w$date = as.Date(paste(w[,'day'], w[,'month'], w[,'year'],sep="-"),format="%d-%m-%Y")
dailyTimeSeries(w$date) # we get the following information
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some library files developed for daily data aggregation to week, month, year, water year, DoY, week_year, month_year, decimal_year
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laurencelin/Date_analysis
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some library files developed for daily data aggregation to week, month, year, water year, DoY, week_year, month_year, decimal_year
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