any_data.table: Any data.table generator

In quickcheck: Property Based Testing

Any data.table generator

Description

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()

quickcheck documentation built on Oct. 12, 2023, 1:08 a.m.