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Build data model

data_model.Rd

Build data model

Usage

data_model(
  colClasses,
  default.val = NULL,
  default.fun = NULL,
  default.arg = NULL,
  filter = NULL,
  skip = NULL,
  sort.rank = NULL,
  sort.desc = NULL
)

Arguments

colClasses

a mandatory named vector of classes, defining the data model.

default.val

an optional named vector of values, defining the default values.

default.fun

an optional named vector of functions, defining the default functions to be used to generate default values.

default.arg

an optional named vector of arguments, to pass along with the default function.

filter

an optional character vector, indicating which attribute names should be filtered from the table view.

skip

an optional character vector, indicating which attribute names should be skipped from the user input form.

sort.rank

an optional named numeric vector, to define sort orders.

sort.desc

an optional named logical vector, to define if sort should be descending.

Value

a data.frame containing the data model.

Details

colClasses will be used to create the data.frame: names will define the attributes of the data model, and values will define the class (type) of the attributes.

All default.* parameters are optional. When provided, they will be used to match with names defined in colClasses:

  • order in those vectors doesn't matter

  • there is no need to set values for all attributes (see examples)

  • names in vectors not matching with colClasses names will be ignored

default.fun and default.val are mutual exclusive, with priority on default.fun (default.val will be forced to NA) default.arg requires default.fun not to be NULL (will be forced to NA otherwise)

filter and skip directly contains the names of the attributes to set to TRUE

If not provided, defaults will be applied:

  • NA for default.val, default.fun and default.arg

  • FALSE for filter and skip

Examples

# -- order in vectors doesn't matter:
default.val <- c("name" = "test", "total" = 2)
default.val <- c("total" = 2, "name" = "test")

# -- no need to set all values
colClasses <- c("id" = "numeric", "name" = "character", "total" = "numeric")
default.val <- c("name" = "test", "total" = 2)

# -- filter and skip
filter <- "id"
skip <- c("id", "date")

# -- sort
sort.rank = c("date" = 1, "total" = 2, "name" = 3)
sort.desc = c("date" = TRUE, "total" = FALSE)

data_model(colClasses, default.val, filter = filter, skip = skip)
#>    name      type default.val default.fun default.arg filter  skip sort.rank
#> 1    id   numeric        <NA>          NA          NA   TRUE  TRUE        NA
#> 2  name character        test          NA          NA  FALSE FALSE        NA
#> 3 total   numeric           2          NA          NA  FALSE FALSE        NA
#>   sort.desc
#> 1        NA
#> 2        NA
#> 3        NA