Random Samples and Permutations for Data Frames

This function takes a sample of the specified size from the rows of x using either with or without replacement.

sample.rows(x, size, replace = FALSE, prob = NULL)

Arguments

x	A data frame.
size	A non-negative integer giving the number of items to choose.
replace	Should sampling be with replacement?
prob	A vector of probability weights for obtaining the rows of the data frame being sampled.

Value

A data frame of the same shape as x.

Details

This function internally calls sample.int().

See also

Other deprecated functions: coalesce.na-deprecated, df_to_list-deprecated, hms.to.seconds-deprecated, kimisc-deprecated, list_to_df-deprecated, nc-deprecated, nlist-deprecated, ofactor-deprecated, seconds.to.hms-deprecated, thisfile-deprecated, tll-deprecated, vswitch-deprecated

Examples

set.seed(42)
sample.rows(data.frame(a=c(1,2,3), b=c(4,5,6), row.names=c('a', 'b', 'c')), 10, replace=TRUE)
#> `sample.rows()` is deprecated, use `dplyr::sample_n()` instead.
#>     a b
#> c   3 6
#> c.1 3 6
#> a   1 4
#> c.2 3 6
#> b   2 5
#> b.1 2 5
#> c.3 3 6
#> a.1 1 4
#> b.2 2 5
#> c.4 3 6