memory issues with mutate-map workflow?

purrr
#1

Split from: Efficient use of purrr for multiple pairwise calculations in dataframe


I am also curious about this. Does a mutate-map workflow cause serious memory allocation issues? Right now I have dataframes nested in data frames nested in dataframes and seeing a big disconnect between the mem_used and the memory attributed to my rstudio session after i delete intermediary variables, gc() doesn’t help.

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Efficient use of purrr for multiple pairwise calculations in dataframe
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