Hello All, For certain calculations, I have to handle a dataframe with say 10 million rows and multiple columns of different datatypes. When I try to perform calculations on certain elements in each row, the program just goes in "busy" mode for really long time. To avoid this "busy" mode, I split the dataframe into subsets of 10000 rows. Then the calculation was done very fast. within reasonable time.
Is there any other tip to improve the performance ? Regards, Suresh -- View this message in context: http://www.nabble.com/Tip-for-performance-improvement-while-handling-huge-data--tp21901287p21901287.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
