[Solved] finding the most frequent item using bigmemory techniques and parallel computing? [closed]
[ad_1] Let’s say your data.frame is called dd. If you want to see the total number of weather delays for each month across all years you can do delay <- aggregate(WeatherDelay~Month, dd, sum) delay[order(-delay$WeatherDelay),] 1 [ad_2] solved finding the most frequent item using bigmemory techniques and parallel computing? [closed]