.data |
A data frame, data frame extension (e.g. a tibble), or a
lazy data frame (e.g. from dbplyr or dtplyr). See Methods, below, for
more details.
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... |
Arguments passed on to dplyr::slice_sample
n,prop Provide either n , the number of rows, or prop , the
proportion of rows to select. If neither are supplied, n = 1 will be
used. If n is greater than the number of rows in the group
(or prop > 1 ), the result will be silently truncated to the group size.
prop will be rounded towards zero to generate an integer number of
rows.
A negative value of n or prop will be subtracted from the group
size. For example, n = -2 with a group of 5 rows will select 5 - 2 = 3
rows; prop = -0.25 with 8 rows will select 8 * (1 - 0.25) = 6 rows.
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n , prop |
Provide either n , the number of rows, or prop , the
proportion of rows to select. If neither are supplied, n = 1 will be
used. If n is greater than the number of rows in the group
(or prop > 1 ), the result will be silently truncated to the group size.
prop will be rounded towards zero to generate an integer number of
rows.
A negative value of n or prop will be subtracted from the group
size. For example, n = -2 with a group of 5 rows will select 5 - 2 = 3
rows; prop = -0.25 with 8 rows will select 8 * (1 - 0.25) = 6 rows.
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by |
<tidy-select > Optionally, a selection of columns to
group by for just this operation, functioning as an alternative to group_by() . For
details and examples, see ?dplyr_by.
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weight_by |
<data-masking > Sampling
weights. This must evaluate to a vector of non-negative numbers the same
length as the input. Weights are automatically standardised to sum to 1.
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replace |
Should sampling be performed with (TRUE ) or without
(FALSE , the default) replacement.
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