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@ -471,7 +471,7 @@ There are five handy functions that allow you pick off specific rows within each
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- `df |> slice_tail(n = 1)` takes the last row in each group.
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- `df |> slice_min(x, n = 1)` takes the row with the smallest value of `x`.
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- `df |> slice_max(x, n = 1)` takes the row with the largest value of `x`.
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- `df |> slice_sample(x, n = 1)` takes one random row.
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- `df |> slice_sample(n = 1)` takes one random row.
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You can vary `n` to select more than one row, or instead of `n =`, you can use `prop = 0.1` to select (e.g.) 10% of the rows in each group.
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For example, the following code finds the most delayed flight to each destination:
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