extra `)`
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@ -236,7 +236,7 @@ dplyr | merge
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`inner_join(x, y)` | `merge(x, y)`
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`left_join(x, y)` | `merge(x, y, all.x = TRUE)`
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`right_join(x, y)` | `merge(x, y, all.y = TRUE)`,
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`full_join(x, y)` | `merge(x, y, all.x = TRUE), all.y = TRUE)`
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`full_join(x, y)` | `merge(x, y, all.x = TRUE, all.y = TRUE)`
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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.
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