Data rule pack

Data rule pack is a rule pack which defines a set of rules for data as a whole, i.e. functions which convert data to logical values. It should return a data frame with the following properties:

• Number of rows equals to one.

• Column names should be treated as rule names.

• Values indicate whether the data as a whole follows the rule.

Details

This format is inspired by dplyr's summarise() applied to non-grouped data.

The most common way to define data pack is by creating a functional sequence with no grouping and ending with summarise(...).

See also

Group pack, Column pack, row pack, cell pack.

Examples

data_dims_rules <- . %>%
  dplyr::summarise(
    nrow_low = nrow(.) > 10,
    nrow_up = nrow(.) < 20,
    ncol_low = ncol(.) > 5,
    ncol_up = ncol(.) < 10
  )
data_na_rules <- . %>%
  dplyr::summarise(all_not_na = Negate(anyNA)(.))

data_packs(
  data_nrow = data_dims_rules,
  data_na = data_na_rules
)
#> $data_nrow
#> A Data rule pack:
#> Functional sequence with the following components:
#> 
#>  1. dplyr::summarise(., nrow_low = nrow(.) > 10, nrow_up = nrow(.) <     20, ncol_low = ncol(.) > 5, ncol_up = ncol(.) < 10)
#> 
#> Use 'functions' to extract the individual functions. 
#> 
#> $data_na
#> A Data rule pack:
#> Functional sequence with the following components:
#> 
#>  1. dplyr::summarise(., all_not_na = Negate(anyNA)(.))
#> 
#> Use 'functions' to extract the individual functions. 
#>