Data frame generator with randomized columns

Usage

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

Arguments

...: A set of unnamed generators. The generated data frames 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

data_frame_of(logical_(), date_()) %>% show_example()
#>    ...1       ...2       ...3  ...4  ...5  ...6  ...7  ...8  ...9 ...10
#> 1 FALSE 1349-09-07 1766-09-26 FALSE  TRUE  TRUE FALSE FALSE  TRUE  TRUE
#> 2  TRUE 2595-02-23 2408-10-07 FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE
#> 3  TRUE 1641-03-21 1627-05-29  TRUE  TRUE FALSE FALSE FALSE FALSE  TRUE
#> 4 FALSE 2154-06-26 2105-12-13 FALSE  TRUE  TRUE FALSE  TRUE FALSE  TRUE
#> 5  TRUE 1203-08-22 1414-03-22 FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE
#> 6 FALSE 1976-02-24 1062-06-07 FALSE  TRUE FALSE FALSE  TRUE FALSE  TRUE
#> 7 FALSE 2089-06-19 2710-03-29  TRUE  TRUE FALSE FALSE  TRUE FALSE  TRUE
data_frame_of(any_atomic(), rows = 10L, cols = 5L) %>% show_example()
#>         ...1       ...2                ...3       ...4                ...5
#> 1      [e7s& 1365-12-04 2371-02-14 17:25:20 2885-01-02  189-01-26 13:17:57
#> 2  i0vVhdHgZ 1855-05-01 1106-12-16 08:44:11 1541-03-10  750-12-21 06:07:34
#> 3   x}E*KW[2 1158-10-14  423-12-15 08:55:48 2294-04-17 1253-07-02 09:31:44
#> 4       (e{P 1469-06-16 2888-06-18 10:04:32 1282-06-22 2889-03-25 05:03:44
#> 5   T4wqPv.2 2145-02-07 1790-07-19 05:13:15 2077-10-08 1305-10-03 20:01:58
#> 6       }[&% 2793-03-04  267-04-16 23:17:02 2389-09-04  409-09-19 08:55:38
#> 7       4TpG 2160-03-03 2126-05-04 13:40:13 2866-10-04 1538-08-30 02:45:07
#> 8       C-h% 1914-08-04 2658-11-09 09:21:35 1919-12-24 2920-03-05 14:07:43
#> 9   :<aCsKls 1080-09-06 1582-09-20 10:57:03 2447-02-07 2939-05-05 20:05:11
#> 10   KcvH3ZN 1693-02-15 2817-01-13 21:58:50 2983-11-17  407-06-17 05:02:28