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Combine several columns into a single column.

Source: R/prioritise_columns_class.R
prioritise_columns.Rd

Several columns are merged into a single column. If multiple columns contain overlapping values then priority can be given columns earlier in the list.

Usage

prioritise_columns(
  column_names,
  output_name,
  source_name,
  source_tags = column_names,
  clean = TRUE,
  ...
)

Arguments

column_names

(character) The name(s) of column(s) to be combined.

output_name

(character) The name of the new column.

source_name

(character) The column name used to indicate the where the merged values originated.

source_tags

(character) The tags used to identify the source of each item in the new column. A tag should be provided for each column_name. By default the column name is used.

clean

(logical) Clean old columns. Allowed values are limited to the following:

  • "TRUE": The named columns are removed after being combined.

  • "FALSE": The named columns are retained after being combined.

The default is TRUE.

...

Additional slots and values passed to struct_class.

Value

A prioritise_columns object with the following output slots:

updated(annotation_source) The input annotation source with the newly generated column.

Inheritance

A prioritise_columns object inherits the following struct classes:

[prioritise_columns] -> [model] -> [struct_class]

Examples

M = prioritise_columns( column_names = "V1", output_name = "", clean
= FALSE, source_name = "source_name", source_tags = "x")