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.