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dunlin
: Tools for Clinical Trial Data Wrangling
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Version
Version
0.1.10
0.1.9
0.1.8
0.1.7
Install
install.packages('dunlin')
Monthly Downloads
435
Version
0.1.10
License
Apache License 2.0
Issues
5
Pull Requests
1
Stars
4
Forks
0
Repository
https://github.com/insightsengineering/dunlin/
Homepage
https://insightsengineering.github.io/dunlin/
Maintainer
Joe Zhu
Last Published
April 14th, 2025
Functions in dunlin (0.1.10)
Search all functions
get_arg
Getting Argument From System, Option or Default
join_adsub_adsl
Join
adsub
to
adsl
h_expand_all_datasets
Propagate the rules for all datasets
cut_by_group
Cutting data by group
show_whisker
Show Whisker Values
print_log
Print Log
log_filter
Filter Data with Log
poly_pivot_wider
Transforming data.frame with multiple Data Column into Wide Format
multi_id_pivot_wider
Transforming data.frame with Multiple Identifying columns into Wide Format
remove_whisker
Remove whisker values
safe_transformer
Safe transformer
reformat
Reformat Values
ls_explicit_na
Encode Categorical Missing Values in a
list
of
data.frame
ls_unite
Unite Columns of a Table in a
list
of
data.frame
.
render_safe
Render whiskers safely
rule
Create rule based on mappings
propagate
Propagate Column
assert_all_tablenames
Assert that all names are among names of a
list
of
data.frame
.
co_relevels
Reorder Two Columns Levels Simultaneously
as.list.rule
Convert Rule to List
attr_label
Setting the Label Attribute
combine_list_rules
Combine Rules Found in Lists of Rules.
assert_valid_format
Assert Nested List can be used as Format Argument in Reformat.
add_whisker
Add whisker values
attr_label_df
Setting the Label Attribute to Data Frame Columns
combine_rules
Combine Two Rules
list2rules
Convert nested list into list of
rule
assert_one_tablenames
Assert that at least one name is among table names of a
list
of
data.frame
.
assert_valid_list_format
Assert List can be Converted into a Nested List Compatible with the Format Argument of Reformat.
dunlin-package
Dunlin
Package
h_df_explicit
Encode Categorical Missing Values in a
data.frame
.
get_log
Get Log