search for: conflict_scout

...ent contains an active binding for any ambiguous bindings. The conflicted environment also contains bindings for `library()` and `require()` that rebuild the conflicted environemnt suppress default reporting (but are otherwise thin wrapeprs around the base equivalents). conflicted also provides a `conflict_scout()` helper which you can use to see what?s going on: conflict_scout(c("dplyr", "MASS")) #> 1 conflict: #> * `select`: dplyr, MASS conflicted applies a few heuristics to minimise false positives (at the cost of introducing a few false negatives). The overarchin...

...ment contains an active binding for any ambiguous bindings. The conflicted environment also contains bindings for `library()` and `require()` that rebuild the conflicted environemnt suppress default reporting (but are otherwise thin wrapeprs around the base equivalents). conflicted also provides a `conflict_scout()` helper which you can use to see what?s going on: conflict_scout(c("dplyr", "MASS")) #> 1 conflict: #> * `select`: dplyr, MASS conflicted applies a few heuristics to minimise false positives (at the cost of introducing a few false negatives). The overarching...

...g for > any ambiguous bindings. The conflicted environment also contains > bindings for `library()` and `require()` that rebuild the conflicted > environemnt suppress default reporting (but are otherwise thin wrapeprs > around the base equivalents). > > conflicted also provides a `conflict_scout()` helper which you can use > to see what?s going on: > > conflict_scout(c("dplyr", "MASS")) > #> 1 conflict: > #> * `select`: dplyr, MASS > > conflicted applies a few heuristics to minimise false positives (at the > cost of introducing...

...for > any ambiguous bindings. The conflicted environment also contains > bindings for `library()` and `require()` that rebuild the conflicted > environemnt suppress default reporting (but are otherwise thin wrapeprs > around the base equivalents). > > conflicted also provides a `conflict_scout()` helper which you can use > to see what?s going on: > > conflict_scout(c("dplyr", "MASS")) > #> 1 conflict: > #> * `select`: dplyr, MASS > > conflicted applies a few heuristics to minimise false positives (at the > cost of introdu...

...e::fun as the seeding/default method body or called from at least one method > For > example, the lubridate package provides `as.difftime()` and `date()` > which extend the behaviour of base functions, and provides S4 > generics for the set operators. > > conflict_scout(c("lubridate", "base")) > #> 5 conflicts: > #> * `as.difftime`: [lubridate] > #> * `date` : [lubridate] > #> * `intersect` : [lubridate] > #> * `setdiff` : [lubridate] > #> * `union`...