slice {dplyr} | R Documentation

## Select rows by position

### Description

Slice does not work with relational databases because they have no intrinsic notion of row order. If you want to perform the equivalent operation, use `filter()` and `row_number()`.

### Usage

    slice(.data, ...)

### Arguments

`.data` | A tbl.
`...` | Integer row values. These arguments are automatically quoted and evaluated in the context of the data frame. They support unquoting and splicing. See `vignette("programming")` for an introduction to these concepts.

### Tidy data

When applied to a data frame, row names are silently dropped. To preserve, convert to an explicit variable with `tibble::rownames_to_column()`.

### See Also

Other single table verbs: `arrange`, `filter`, `mutate`, `select`, `summarise`

### Examples

    slice(mtcars, 1L)
    slice(mtcars, n())
    slice(mtcars, 5:n())

    by_cyl <- group_by(mtcars, cyl)
    slice(by_cyl, 1:2)

    # Equivalent code using filter that will also work with databases,
    # but won't be as fast for in-memory data. For many databases, you'll
    # need to supply an explicit variable to use to compute the row number.
    filter(mtcars, row_number() == 1L)
    filter(mtcars, row_number() == n())
    filter(mtcars, between(row_number(), 5, n()))

[Package dplyr version 0.7.0 Index]