mde 0.3.2

mde 0.3.2

• There is now a function recode_as_value for general recoding. See
  #41.

• Fixed all_of warnings in dplyr select and across verbs.

• Tests now use edition 3 of testthat. See r-lib/testthat#1471 and Nelson-Gon/manymodelr#22

• Vignettes no longer include URLs to avoid future issues with broken links on CRAN.

• Exclusion or inclusion in na_summaryvia regular expressions is now possible via regex_kind and providing a pattern_type and pattern.

• exclusion is now done entirely in base R instead of using dplyr::select.

• get_na_means and percent_missing now support POSIXct.

• na_counts and percent_na are new vector focused functions to allow getting na_counts and percent missingness for objects of classes like POSIXct.

• include a new argument to reset rownames in na_summary. Fixes
  #33.

mde 0.3.1

• Fixed a bug that made exclude_cols result in non-exclusion in grouped na.summary outputs.

• na_summary now includes a round_to parameter to control the number of digits to round to. Defaults to options("digits") in the user's settings.

• drop_na_at no longer uses a tibble to avoid warnings with tibble row.names.

• Tests in dict_recode were extended to ensure that we get what is expected particularly with respect to the use_func argument.

• dict_recode now supports the use of different NA recoding functions. These
  can be provided via the argument use_func.

• dict_recode is a new function to allow recoding with a pattern-values pair.

• drop_na_if now supports keep certain columns when grouping. It also now
  supports dropping only at certain columns.

• drop_na_if now supports dropping groups that meet a set missing data
  threshold.

• recode_as_na_str updated to convert factors to character.

mde 0.3.0

• drop_row_if arguments were changed. See docs for the new arguments. This was
  done to allow new functionality that enables dropping rows based on counts.

• Sorting strings in na_summary contained a minor bug that has now been fixed.

• recode_as_na_str is a new function to recode_as_na based on string matching.

• recode_as_na_if is a new function that allows deliberate addition of NAs to a column if it meets a pre-defined condition. This is essentially the reverse of drop_na_if.

• drop_row_if is a new function similar to drop_na_if but for rows instead of columns.

• percent_missing can now work independently for factors, characters, or numeric data. It previously was limited to data.frame objects.

• Fixed issues with drop_na_at that resulted in failing data rebinding.

• get_na_counts now includes an optional exclude_cols argument to exclude columns from the analysis.

• na_summary has been fixed to allow exclusion of columns from the analysis.

• all_na is a new low level function to perform missingness boolean checks for columns(vectors).

• Added a new function column_based_recoode that aims to allow NA recoding based on other columns.

mde 0.2.1

• Patch Fix to skip tests on old R releases.

• Only R versions above 3.6.3 are supported.

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

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

3. 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.

4. Similar changes were made for recode_na_as as above.

5. 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

10. Now supports tidy selection and exploration at specific columns

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

12. drop_na_if allows exclusion of columns.

mde 0.3.1 release notes

mde 0.3.1

• Fixed a bug that made exclude_cols result in non-exclusion in grouped na.summary outputs.

• na_summary now includes a round_to parameter to control the number of digits to round to. Defaults to options("digits") in the user's settings.

• drop_na_at no longer uses a tibble to avoid warnings with tibble row.names.

• Tests in dict_recode were extended to ensure that we get what is expected particularly with respect to the use_func argument.

• dict_recode now supports the use of different NA recoding functions. These
  can be provided via the argument use_func.

• dict_recode is a new function to allow recoding with a pattern-values pair.

• drop_na_if now supports keep certain columns when grouping. It also now
  supports dropping only at certain columns.

• drop_na_if now supports dropping groups that meet a set missing data
  threshold.

• recode_as_na_str updated to convert factors to character.

mde 0.3.0

• drop_row_if arguments were changed. See docs for the new arguments. This was
  done to allow new functionality that enables dropping rows based on counts.

• Sorting strings in na_summary contained a minor bug that has now been fixed.

• recode_as_na_str is a new function to recode_as_na based on string matching.

• recode_as_na_if is a new function that allows deliberate addition of NAs to a column if it meets a pre-defined condition. This is essentially the reverse of drop_na_if.

• drop_row_if is a new function similar to drop_na_if but for rows instead of columns.

• percent_missing can now work independently for factors, characters, or numeric data. It previously was limited to data.frame objects.

• Fixed issues with drop_na_at that resulted in failing data rebinding.

• get_na_counts now includes an optional exclude_cols argument to exclude columns from the analysis.

• na_summary has been fixed to allow exclusion of columns from the analysis.

• all_na is a new low level function to perform missingness boolean checks for columns(vectors).

• Added a new function column_based_recoode that aims to allow NA recoding based on other columns.

mde 0.2.1

• Patch Fix to skip tests on old R releases.

• Only R versions above 3.6.3 are supported.

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

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

3. 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.

4. Similar changes were made for recode_na_as as above.

5. 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

10. Now supports tidy selection and exploration at specific columns

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

12. drop_na_if allows exclusion of columns.

mde 0.3.0

---

title: 'Missing Data Explorer'
author: "Nelson Gonzabato"
date: "r Sys.Date()"
output: html_document

mde 0.3.0

• drop_row_if arguments were changed. See docs for the new arguments. This was
  done to allow new functionality that enables dropping rows based on counts.

• Sorting strings in na_summary contained a minor bug that has now been fixed.

• recode_as_na_str is a new function to recode_as_na based on string matching.

• recode_as_na_if is a new function that allows deliberate addition of NAs to a column if it meets a pre-defined condition. This is essentially the reverse of drop_na_if.

• drop_row_if is a new function similar to drop_na_if but for rows instead of columns.

• percent_missing can now work independently for factors, characters, or numeric data. It previously was limited to data.frame objects.

• Fixed issues with drop_na_at that resulted in failing data rebinding.

• get_na_counts now includes an optional exclude_cols argument to exclude columns from the analysis.

• na_summary has been fixed to allow exclusion of columns from the analysis.

• all_na is a new low level function to perform missingness boolean checks for columns(vectors).

• Added a new function column_based_recoode that aims to allow NA recoding based on other columns.

mde 0.2.1

• Patch Fix to skip tests on old R releases.

• Only R versions above 3.6.3 are supported.

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

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

3. 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.

4. Similar changes were made for recode_na_as as above.

5. 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

10. Now supports tidy selection and exploration at specific columns

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

12. drop_na_if allows exclusion of columns.

Patch Release

mde 0.2.1

• Patch Fix to skip tests on old R releases.

• Only R versions above 3.6.3 are supported.

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

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

3. 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.

4. Similar changes were made for recode_na_as as above.

5. 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

10. Now supports tidy selection and exploration at specific columns

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

12. drop_na_if allows exclusion of columns.

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

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

3. 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.

4. Similar changes were made for recode_na_as as above.

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

Introducing Missing Data Explorer

This is the initial stable release of mde, the missing data exploration and manipulation package.

Please see a list of available functions in the NEWS.md file.

The README also provides a detailed look at each function listed above.