tag:blogger.com,1999:blog-159313908067589525.post7565139331668541558..comments2023-03-08T11:34:42.241+02:00Comments on XRGB: R Benchmark: Merge vs fast.mergingXachrielhttp://www.blogger.com/profile/13498450896499484539noreply@blogger.comBlogger3125tag:blogger.com,1999:blog-159313908067589525.post-61515492687617719862015-04-07T18:54:32.155+03:002015-04-07T18:54:32.155+03:00This really helps. Much faster even using a list o...This really helps. Much faster even using a list of data tables. I added another parameter for the keys to use when merging and the chunk approach reduced the time from over an hour to 2 minutes. Thanks.Russhttp://www.business-spreadsheets.comnoreply@blogger.comtag:blogger.com,1999:blog-159313908067589525.post-30804717958940681132013-03-07T17:20:38.289+02:002013-03-07T17:20:38.289+02:00Definetely, I will do it this weekend!
- Xachriel...Definetely, I will do it this weekend!<br /><br />- XachrielXachrielhttps://www.blogger.com/profile/13498450896499484539noreply@blogger.comtag:blogger.com,1999:blog-159313908067589525.post-43980806600811266152013-03-04T11:43:11.303+02:002013-03-04T11:43:11.303+02:00Very interesting benchmark.
Would you mind to give...Very interesting benchmark.<br />Would you mind to give the data.table package a try and benchmark also the data.table merge() ?<br /><br />Brgds,<br />bluAnonymoushttps://www.blogger.com/profile/08747285493375836507noreply@blogger.com