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Missing Data Explorer

Nelson Gonzabato

r Sys.Date()

mde 0.3.2

mde 0.3.1

mde 0.3.0

mde 0.2.1

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.

mde version 0.1.0

Available functions

  1. get_na_counts

  2. percent_missing

  3. recode_as_na

  4. sort_by_missingness

  5. recode_na_as

  6. drop_na_if

  7. recode_na_if

  8. drop_na_at

  9. recode_as_na_for

Key changes

  1. Now supports tidy selection and exploration at specific columns

  2. percent_missing supports grouping and exclusion of certain columns. The use of decimals was dropped.

  3. drop_na_if allows exclusion of columns.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.