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

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. #>