rolap (version 2.5.1)

get_similar_attribute_values_individually.flat_table: Get similar values for individual attributes

Description

Get sets of attribute values for individual attributes that differ only by tildes, spaces, or punctuation marks. If no attributes are indicated, all are considered.

Usage

# S3 method for flat_table
get_similar_attribute_values_individually(
  db,
  name = NULL,
  attributes = NULL,
  exclude_numbers = FALSE,
  col_as_vector = NULL
)
get_similar_attribute_values_individually(
  db,
  name,
  attributes,
  exclude_numbers,
  col_as_vector
)
# S3 method for star_database
get_similar_attribute_values_individually(
  db,
  name = NULL,
  attributes = NULL,
  exclude_numbers = FALSE,
  col_as_vector = NULL
)

Value

A vector of tibble objects with similar instances.

Arguments

db

A flat_table or star_database object.

name

A vector of strings, dimension names.

attributes

A vector of strings, attribute names.

exclude_numbers

A boolean, exclude numbers from comparison.

col_as_vector

A string, name of the column to include a vector of values.

Details

For star databases, if no dimension name is indicated, all dimensions are considered.

You can indicate that the numbers are ignored to make the comparison.

If a name is indicated in the col_as_vector parameter, it includes a column with the data in vector form to be used in other functions.

See Also

star_database, flat_table

Other star database and flat table functions: get_attribute_names.flat_table(), get_measure_names.flat_table(), get_similar_attribute_values.flat_table(), get_unique_attribute_values.flat_table(), replace_attribute_values.flat_table(), set_attribute_names.flat_table(), set_measure_names.flat_table(), snake_case.flat_table()

Examples

instances <- star_database(mrs_cause_schema, ft_num) |>
  get_similar_attribute_values_individually(name = c("where", "when"))

instances <- star_database(mrs_cause_schema, ft_num) |>
  get_similar_attribute_values_individually()

ft <- flat_table('iris', iris)
ft$table$Species[20] <- "se.Tosa."
ft$table$Species[60] <- "Versicolor"
instances <- ft |>
  get_similar_attribute_values_individually()