If all your data is numeric then you can use an array instead of a data
frame and arrays can easily be 3, 4, or higher dimensional.  Or you can use
a data frame with a column each for x, y, z, and time; with possible other
columns representing groups or other attributes, essentially a 3
dimensional data frame with the 3rd dimension being stacked rather than
projecting out.


On Thu, Oct 17, 2013 at 6:59 AM, Umut Toprak <umut.toprak@unige.ch> wrote:

> Dear all,
>
> I have a problem where I must represent points with XYZ coordinates
> changing over time. I will do a number of operations on this data such as
> calculating the YZ-projection distance of the points to the origin over
> time, the frequency spectrum of the X-T data etc. I am trying to find a
> good way of representing this data with an appropriate data structure.
>
> It appears like higher-dimensional data frames are not allowed and I do not
> know if I should use a list of data frames or if there is a better
> solution, possibly as part of an external package.
>
> Thank you for your time
> Umut Toprak
>
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>
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>



-- 
Gregory (Greg) L. Snow Ph.D.
538280@gmail.com

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