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.top...@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 > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Gregory (Greg) L. Snow Ph.D. 538...@gmail.com [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
