Hello All,
I am new to R. I am trying to process this huge data set of
matrix containing four columns, say x1, x2, x3, x4 and n number of rows.
I want to aggregate the matrix by x1 and perform statistic based on
columns x2, x3, x4. I tried aggregate function but it gave me memory
allocation error (which I am not surprised), so I ended up performing a
for loop based on x1 and subsetting the matrix based on x1. However I
have a hunch that their should be a less expensive way of doing this
processing. Any ideas or tips to optimize this processing logic would
be greatly appreciated.
Manoj
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