Devang Akotia Devang Akotia - 2 months ago 20
R Question

how to extract timestamps from ts object in r

Consider the treerings dataset.

library("datasets", lib.loc="C:/Program Files/R/R-3.3.1/library")

[1] 7980

[1] "ts"

From my understanding, it is a time series of length 7980.
How can I find out what the time stamps are for each value?

After plotting the time series, looking at the x axis of the plot, it appears that the time stamps range between -6000 to 2000. But to me the time stamps appear to be "hidden".


More generally, I'm trying to understand what exactly is a
object and what are the benefits of using this type of object.

A univariate and multivariate time series can easily be displayed in a data frame with 2 or more columns: Time and variables .

univariatetimeseries <- data.frame(Time = c(0, 1, 2, 3, 4, 5, 6), y = c(1, 2, 3, 4, 5, 6, 7))
multivariatetimeseries <- data.frame(Time = c(0,1,2,3,4,5,6), y = c(1, 2, 3, 4, 5, 6, 7), z = c(7,6,5,4,3,2,1))

This to me seems simple and straighforward and it is consistent with the basic science examples that I learned in high school. Additionally, the time stamps are not "hidden" as is the case of the
example. So what are the benefits of using


Object of class comes with many generic functions for convenience. Say for "ts" object class there are ts.plot, plot.ts, etc. If you store your time series as a data frame, you have to do lots of work yourself when plotting them.

Perhaps for seasonal time series, the advantage of using "ts" is more evident. For example, x <- ts(rnorm(36), start = c(2000, 1), frequency = 12) generates monthly time series for 3 years. The print method will nicely arrange it like a matrix when you print x.

A "ts" object has a number of attributes. Modelling fitting routines like arima0 and arima can see such attributes so you don't need to specify them manually.

For your question, there are a number of functions to extract / set attributes of a time series. Have a look at ?start, ?tsp, ?time, ?window.