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I am trying to figure out how to approach a data problem that includes observations of multiple equipment units' pressure and temperature measures. The measures are available for a few years as daily or nearly daily values.

This seems like a time series problem (multivariate) and I have found some quality examples. However, because the data set consists of multiple measures taken for each equipment unit, I am a bit stumped on how to proceed. Should I fit a separate time series for each piece of equipment? This seems intuitively wrong, but I am really not sure which package or even approach I can use to work through this.

I would very much appreciate a recommendation or link to some resources.

Anna Y.
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  • Try to go through this list https://github.com/ropensci/hydrology – Tung Apr 19 '19 at 05:10
  • And this paper https://www.hydrol-earth-syst-sci-discuss.net/hess-2019-50/ – Tung Apr 19 '19 at 05:11
  • Thanks, I will check out these links. I was hoping to find examples of how to predict readings from multiple pieces of equipment using time series (since past readings are available). – Anna Y. Apr 24 '19 at 20:03

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