The dplyr package introduced the %.% operator to pass the left hand side as an argument of the function on the right hand side, similar to a *NIX pipe. The magrittr package is a much more lightweight package that exists to define only that pipe-like operator.
Yet one uses %.% and the other %>%.
Is there any difference between the two? Can I just use %>% even in dplyr code, or will that cause subtle bugs?
On inspecting the code, they take very different paths early on, so simple eyeball comparison would suggest that they're different. I haven't been able to find anything documented when I search the web for them, nor have I run across anything in the documentation itself.
Differences include
you can use a
.as placeholder for the left-hand side, e.g.iris %>% plot(Sepal.Length ~ Sepal.Width, data = .)%>%respects(rhs), e.g.1:10 %>% (call("sum")) 1:10 %>% (function(x) x^2 + 2*x)For a more useful example of this, see
https://gist.github.com/anonymous/0c69b019d0b4f6ae5050For single argument function calls, you can omit parens:
"2014-05-18" %>% as.Date
See the very first item in the current NEWS file:
dplyr now imports
%>%from magrittr (#330). I recommend that you use this instead of%.%because it is easier to type (since you can hold down the shift key) and is more flexible
来源：https://stackoverflow.com/questions/23621209/differences-between-dplyr-and-magrittr