Thanks for this amazing plugin. I did some very coarse benchmarking about {collapse} and {data.table} and got pretty impressed. Very looking forward to seeing the multi-threaded version as you mentioned by the end of this year. I am trying to replace some of my {data.table} workflow with {collapse}.
Currently settransform() did not work if {collapse} was not attached.
head(collapse::ftransform(airquality, Ozone = -Ozone)) #> Ozone Solar.R Wind Temp Month Day #> 1 -41 190 7.4 67 5 1 #> 2 -36 118 8.0 72 5 2 #> 3 -12 149 12.6 74 5 3 #> 4 -18 313 11.5 62 5 4 #> 5 NA NA 14.3 56 5 5 #> 6 -28 NA 14.9 66 5 6 head(collapse::settransform(airquality, Ozone = -Ozone)) #> Error in ftransform(airquality, Ozone = -Ozone): could not find function "ftransform"
Created on 2021-03-13 by the reprex package (v1.0.0)
BTW, to my understanding, data.table::set* functions are not drop-in replacements for data.table::set*. The latter modifies the passed data internally at the C level which will be memory efficient. But collapse::settransform() did not. In this sense, from a performance perspective, it makes no difference between airquality <- collapse::ftransform(airquality, Ozone = -Ozone) and collapse::settransform(airquality, Ozone = -Ozone) right? Please correct if I am wrong.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4