Function reference • dunlin

Packages

dunlin dunlin-package: Dunlin Package

Processing Functions

co_relevels(): Reorder Two Columns Levels Simultaneously

cut_by_group(): Cutting data by group

dm_explicit_na(): Encode Categorical Missing Values in a DM Object

dm_unite(): Unite Columns of a Table in a dm object.

join_adsub_adsl(): Join adsub to adsl

mini_pivot_wider(): Transforming data.frame into Wide Format

multi_pivot_wider(): Transforming data.frame with Complex Identifiers into Wide Format

poly_pivot_wider(): Transforming data.frame with multiple Data Column into Wide Format

propagate(): Propagate Column

reformat(): Reformat Values

Helper functions

attr_label(): Setting the Label Attribute

attr_label_df(): Setting the Label Attribute to Data Frame Columns

h_as_factor(): Transforming Empty Strings and White Spaces to Explicit NAs while Preserving Label

h_ws_to_na(): Transforming Empty Strings and White Spaces to NAs

h_ws_to_explicit_na(): Transforming Empty Strings and White Spaces to Explicit NAs

Rule and Format

rule(): Create rule based on mappings

as.list(<rule>): Convert Rule to List

empty_rule: Create empty rule

list2rules(): Convert nested list into list of rule

read_rules(): Read yaml File describing rule

Assertions

assert_valid_format(): Assert Nested List can be used as Format Argument in Reformat.

assert_valid_list_format(): Assert List can be Converted into a Nested List Compatible with the Format Argument of Reformat.

Data

standard_remap: Example of Remapping List