Description Usage Arguments Details Examples
Time-series objects can be confusing for the R date/time beginner. This is one way to create an xts object – class extensible time series (from the zoo package) – from a data frame containing one column of dates and the rest data.
1 | df_to_xts(mydf)
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mydf |
A data frame with the first column containg dates, rest of columns containing data you want. Date column must be in yyyy-mm-dd format, either as character or Date objects. |
The resulting xts object can be easily graphed using dygraphs::dygraph(myxtsobject)
1 2 3 4 5 6 7 | month = c("2014-01-01", "2014-02-01", "2014-03-01", "2014-04-01", "2014-05-01", "2014-06-01", "2014-07-01", "2014-08-01", "2014-09-01", "2014-10-01", "2014-11-01", "2014-12-01")
rate = c(6.6, 6.7, 6.6, 6.2, 6.3, 6.1, 6.2, 6.1, 5.9, 5.7, 5.8, 5.6)
unemp <- data.frame(month, rate, stringsAsFactors = FALSE )
unemp.xts <- df_to_xts(unemp)
# With dygraphs library installed, can then graph this with
# dygraphs::dygraph(unemp.xts)
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