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freqs
2017 Aug 23
0
Data too big for a specific library package to handle
...but it runs 64-bit R), but I still get the error.
The problem with most memory allocation workarounds is that what I'm doing creates a non-standard, library-specific data structure. Most workarounds are designed for very large vectors, data frames, lists, matrices, etc., not for very large 'Pfreqs'.
Any help?
The script below will simulate my data set with random data, but it takes several minutes to run and may eat up your resources until it's finished.
rm(list=ls(all=T))require(confreq)set.seed(1066)
observations<- as.factor(rep(replicate(60000,paste(sample(c(LETTERS,letters),sa...