[R] How to predict time series high-frequency data?

Jeff Newmiller jdnewm|| @end|ng |rom dcn@d@v|@@c@@u@
Sat May 19 21:18:59 CEST 2018

Your description does not indicate that you know what theory you want to apply to this data, and this mailing list is the wrong place to discuss which theory you want to apply.

However, this sounds perfectly suitable to many time series or data frame based analytical methods. You may need to refer to a textbook to gain the appropriate background. Then look at the Time Series View on CRAN, and perhaps start with the zoo package. Once you have a better understanding of what you want to accomplish, post again with a more specific question about using R to do the work, preferably with a small reproducible example (input data and some attempt to work with it and desired outcome).

On May 19, 2018 10:49:51 AM PDT, Rama shankar <rcse2006 using gmail.com> wrote:
>Hi All,
>I am having very high-frequency data, captured  between 3 to 7 seconds
>sensor for tank. Number of rows of data point are 7 million and its
>multivariate  problem.
>Due to high frequency data, time series is unable to capture frequency
>Cycle of data.
>Please help me, how to approach and which kinds of algorithm required
>solve this problem using R.
>Rama Shankar
>	[[alternative HTML version deleted]]
>R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
>PLEASE do read the posting guide
>and provide commented, minimal, self-contained, reproducible code.

Sent from my phone. Please excuse my brevity.

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