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Merge pull request #22 from jennybc/patch-1 

extra `)`
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Hadley Wickham 2016-01-07 14:39:01 -06:00
parent 5d33dd0b50 387d65c4f1
commit b68a0fea04
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relational-data.Rmd
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@ -236,7 +236,7 @@ dplyr | merge
`inner_join(x, y)` | `merge(x, y)`
`left_join(x, y)` | `merge(x, y, all.x = TRUE)`
`right_join(x, y)` | `merge(x, y, all.y = TRUE)`,
`full_join(x, y)` | `merge(x, y, all.x = TRUE), all.y = TRUE)`
`full_join(x, y)` | `merge(x, y, all.x = TRUE, all.y = TRUE)`
The advantages of the specific dplyr verbs is that they more clearly convey the intent of your code: the difference between the joins is really important but concealed in the arguments of `merge()`. dplyr's joins are considerably faster and don't mess with the order of the rows.