If you are satisfied with the structure of cusumA and just want 999
more randome realizations of the same, then try creating an empty list
to hold the 1000 dataframes you are creating and then accumulate
sequentially to the list.
> mat <- matrix(data=rep(c(1,2,3,4,5), 16), nrow=16, ncol=5)
I need to store each matrix generated in a loop.
I've been working with the CUSUM algorithm and I've been trying to implement
it in R.
What I need to do with my dataset is to create 1000 randomized datasets and
cumulative sum them all and store all of those randomized CUSUMed datasets
for further
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