search for: _ply

...once. You can't expect the R core team to incorporate something that is bound to change. Last but not least, the tidyverse actually sometimes works against new R users. At least R users that go beyond the classic data workflow. I literally rewrote some code -from a consultant- that abused the _ply functions to create nested loops. Removing all that stuff and rewriting the code using a simple list in combination with a simple for-loop, sped up the code with a factor 150. That has nothing to do with dplyr, it's very fast. That has everything to do with that person having a hammer and think...

Hi, On 08/05/17 16:37, Ista Zahn wrote: > One of the key strengths of R is that packages are not akin to "fan > created mods". They are a central and necessary part of the R system. > I would tend to disagree here. R packages are in their majority not maintained by the core R developers. Concepts, features and lifetime depend mainly on the maintainers of the package (even