I get tables with millions of rows. For plotting to a screen-size jpg, obviously just about 1000 points are enough. Instead of feeding plot() the original millions of rows, I'd rather shrink the original dataframe, using some kind of the following interpolation:
-- split dataframe into chunks of N rows each, e.g. 1000 rows each -- compute average for each column -- issue one new row of those averages into the shrunk result Is there any existing package to do that in R? Otherwise, which R idioms are most effective to achieve that? Cheers, Alexy ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
