Description Usage Arguments Details Tidy data See Also Examples
Choose rows by their ordinal position in the tbl. Grouped tbls use the ordinal position within the group.
1 |
.data |
A tbl. |
... |
Integer row values. Provide either positive values to keep, or negative values to drop. The values provided must be either all positive or all negative. Indices beyond the number of rows in the input are silently ignored. The arguments in |
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()
.
When applied to a data frame, row names are silently dropped. To preserve,
convert to an explicit variable with tibble::rownames_to_column()
.
Other single table verbs: arrange
,
filter
, mutate
,
select
, summarise
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | slice(mtcars, 1L)
# Similar to tail(mtcars, 1):
slice(mtcars, n())
slice(mtcars, 5:n())
# Rows can be dropped with negative indices:
slice(mtcars, -5:-n())
# In this case, the result will be equivalent to:
slice(mtcars, 1:4)
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()))
|
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