Random tibble generator

Usage

tibble_of(..., rows = c(1L, 10L), cols = c(1L, 10L))

Arguments

...: A set of unnamed generators. The generated tibbles will be built with random combinations of these generators.
rows: Number of rows of the generated data frame. If rows is a single number all data frames will have this number of rows. If rows is a numeric vector of length 2 it will produce data frames with rows between a minimum and maximum, inclusive. For example rows = c(1L, 10L) would produce data frames with rows between 1 and 10. To produce empty tibbles set rows = 0L or a range like rows = c(0L, 10L).
cols: Number of columns of the generated data frame. If cols is a single number all data frames will have this number of columns. If cols is a numeric vector of length 2 it will produce data frames with columns between a minimum and maximum, inclusive. For example cols = c(1L, 10L) would produce data frames with columns between 1 and 10. To produce empty tibbles set cols = 0L or a range like cols = c(0L, 10L).

Value

A quickcheck_generator object.

Examples

tibble_of(logical_(), date_()) %>% show_example()
#> # A tibble: 9 × 3
#>   ...1       ...2  ...3 
#>   <date>     <lgl> <lgl>
#> 1 1788-11-18 TRUE  TRUE 
#> 2 1861-08-21 TRUE  TRUE 
#> 3 2938-11-12 FALSE FALSE
#> 4 1782-01-31 TRUE  TRUE 
#> 5 2087-08-15 TRUE  FALSE
#> 6 2786-09-22 TRUE  TRUE 
#> 7 1233-08-08 TRUE  TRUE 
#> 8 1947-03-26 FALSE TRUE 
#> 9 1728-11-07 FALSE FALSE
tibble_of(any_atomic(), rows = 10L, cols = 5L) %>% show_example()
#> # A tibble: 10 × 5
#>    ...1                ...2     ...3 ...4        ...5
#>    <dttm>              <chr>   <int> <date>     <int>
#>  1 2311-10-24 23:03:52 g-5xF   -5761 2844-09-08  9381
#>  2 2131-03-04 06:19:54 {        2874 2578-10-21     0
#>  3 1543-06-03 04:01:18 %_      -2373 1465-03-13  -391
#>  4 237-12-27 05:27:39  dj9;&7c  6670 2037-05-09 -6748
#>  5 15-11-21 01:52:27   ;VT      1893 2795-06-06  1014
#>  6 1401-08-09 21:58:56 M'E01m  -3268 1104-02-17  4938
#>  7 748-11-15 22:53:42  ^(t     -9728 2332-12-30  8596
#>  8 2747-11-25 11:57:53 P/^     -1547 2352-08-18  2837
#>  9 34-04-08 11:10:52   5iBQ^@      0 2095-01-18   404
#> 10 1040-09-06 11:02:55 |R          0 1202-07-30 -5476