Generate a random data frame from given configuration

random_data_frame(configuration, size)

Arguments

configuration: list, a configuration of columns with all arguments required by vector generator passed as sublists of sublist "columns". Column can be also generated with custom function. Pass "custom_column" as column type and function (or function name) as custom_column_generator. Column generator has to accept argument size and return a vector of this size. Third option is to pass an expression that involves existing columns. This can be a simple one, or a call of an existing function.
size: integer, number of rows to generate.

Value

data.frame

Examples

conf <- list(
 columns = list(
   first_column = list(
     type = "string",
     length = 3
   ),
   second_column = list(
     type = "integer",
     max = 10
   ),
   third_column = list(
     type = "calculated",
     formula = "second_column * 2"
   )
 )
)

random_data_frame(conf, size = 10)
#>    first_column second_column third_column
#> 1           nbm             7           14
#> 2           k3N             7           14
#> 3           uVO             8           16
#> 4           HNn             2            4
#> 5           I2t             4            8
#> 6           5Ei             7           14
#> 7           7vE             2            4
#> 8           HMe             4            8
#> 9           yP5             1            2
#> 10          fT6             6           12