Nelson-Gon/mde: Missing Data Explorer: Further Easing Missingness Exploration

mde version 0.2.0

Additions

1. na_summary which provides a very quick overview of missingness. It also supports grouped summaries.

2. drop_na_if allows easy dropping of columns where all values are missing.

3. custom_na_recode allows replacing missing values with common values such as mean, min, max, sd.

Major changes

1. In percent_missing, the argument grouped was dropped in favour of simply providing a grouping_cols vector.

2. 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.

3. Similar changes were made for recode_na_as as above.

4. The argument x was changed to df in drop_na_at.