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Generate data.tables.

Usage

any_data.table(rows = c(1L, 10L), cols = c(1L, 10L), any_na = FALSE)

Arguments

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).

any_na

Whether NA values should be allowed.

Value

A quickcheck_generator object.

Examples

any_data.table(rows = 3L, cols = 3L) %>% show_example()
#>               ...1                ...2       ...3
#>              <hms>              <POSc>      <num>
#> 1: 16:19:25.395917 2296-10-19 12:52:29 -369516495
#> 2: 11:58:19.761905 2309-01-10 05:36:54   63147082
#> 3: 15:24:00.454024 2972-02-20 05:17:32  558617252