If all your entries are double precision then you are
using 8 bytes per entry, so 20,000*n entries are just
160,000*n bytes, i.e. less than 160*n Kb. If your n is
100 you get 16 Mb which is not that much (especially
if you pre-allocate it only once). So just use the
matrix and don't worry!
--- dxc
> Can a simple matrix be used for this or would it be better and more
> efficient to create an external database to hold the data. If so,
> should the database be created using C and how would I do this (seeing
> as that I have never programmed in C)?
You don't want to be down at the C level
What are you intending to do with the data? How big is 'm'? How do
you want to access the data? You can always put it in a SQL database
that R can access and then pull out the rows that you are interested
in. If 'm' is 100, then if you are just keeping numeric data, this
will only require 16MB
useR's,
I am writing a program in which the input can be multidimensional. As of
now, to hold the input, I have created an n by m matrix where n is the
number of observations and m is the number of variables. The data that I
could potentially use can contain well over 20,000 observations.
Ca
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