Sorry, Jeff, I misspoke: the 'matrix' data.m is really a data frame -- I
was just thinking about it as a matrix since it's the numeric part of df1,
and didn't realize the thought made it's way in the message. So the
memory issues are unrelated to converting between data frames and
matrices. -Da
I am not seeing any good justification in your description for converting to
matrix if you are planning to convert it back to data frame. Memory is going to
be inefficiently-used if you do this.
---
Jeff Newmiller
Hi everyone,
I have large data frame, say df1, with 165K columns, and all but the first
four columns of df1 are numeric. I transformed the numeric data and
obtained a matrix, call it data.m, with 165K - 4 columns, and then tried to
create a second data frame by replacing the numeric columns of
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