starschemar (version 1.2.0)

update_selection_general: Update dimension records with a set of values in given columns

Description

For a dimension, given a vector of column names, a vector of old values for those columns, another vector column names, and a vector of new values for those columns, it adds an update to the set of updates that modifies all the records that have the combination of old values in the first column vector with the new values in the second column vector.

Usage

update_selection_general(
  updates = NULL,
  dimension,
  columns_old = vector(),
  old_values = vector(),
  columns_new = vector(),
  new_values = vector()
)
# S3 method for record_update_set
update_selection_general(
  updates = NULL,
  dimension,
  columns_old = vector(),
  old_values = vector(),
  columns_new = vector(),
  new_values = vector()
)

Arguments

updates

A record_update_set object.

dimension

A dimension_table object, dimension to update.

columns_old

A vector of column names.

old_values

A vector of character values.

columns_new

A vector of column names.

new_values

A vector of character values.

Value

A record_update_set object.

See Also

Other data cleaning functions: get_conformed_dimension_names(), get_conformed_dimension(), get_dimension_names(), get_dimension(), match_records(), modify_conformed_dimension_records(), modify_dimension_records(), record_update_set(), update_record(), update_selection()

Examples

# NOT RUN {
library(tidyr)

dim_names <- st_mrs_age %>%
    get_dimension_names()

where <- st_mrs_age %>%
  get_dimension("where")

# head(where, 2)

updates <- record_update_set() %>%
  update_selection_general(
    dimension = where,
    columns_old = c("state", "city"),
    old_values = c("CT", "Bridgepor"),
    columns_new = c("city"),
    new_values = c("Bridgeport")
  )

# }

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