11/06/2020
Patch Fix to skip tests on old R releases.
Only R versions above 3.6.3 are supported.
Additions
na_summary which provides a very quick overview of missingness. It also supports grouped summaries.
drop_na_if allows easy dropping of columns where all values are missing.
custom_na_recode allows replacing missing values with common values such as mean, min, max, sd.
Major changes
In percent_missing, the argument grouped was dropped in favour of simply providing a grouping_cols vector.
In recode_as_na , subset_df was dropped. It now simply accepts an optional subset_cols argument. The argument tidy was also dropped.One can simply provide an optional pattern_type and pattern.
Similar changes were made for recode_na_as as above.
The argument x was changed to df in drop_na_at.
Available functions
get_na_counts
percent_missing
recode_as_na
sort_by_missingness
recode_na_as
drop_na_if
recode_na_if
drop_na_at
recode_as_na_for
Key changes
Now supports tidy selection and exploration at specific columns
percent_missing supports grouping and exclusion of certain columns. The use of decimals was dropped.
drop_na_if allows exclusion of columns.