# fastDummies 1.6.3 Unreleased

• Fix bug where inputting a vector or a one column data.frame returned an issue. Now will convert the vector to a data.frame and return that. Will name each column “.data_”. Closes #23 by @Garyf20.
• Fix bug where remove_most_frequent_dummy wasn’t working right when there was a tie for which value was the most frequent. Closes #22 by eden70.

# fastDummies 1.6.2 2020-09-16

• Dummy columns are now returned in alphabetical order including numeric order (e.g. photos_2 is before photos_11).

# fastDummies 1.6.1 2020-03-07

• Bug fixes.
• Dummy columns are now returned in alphabetical order.

# fastDummies 1.6.0 2019-11-29

• Adds the parameter remove_selected_columns to dummy_columns(). If TRUE (not default), removes the columns which are used to create the dummy columns.

# fastDummies 1.5.0 2019-09-02

• Removes sort_columns parameter. Now by default will order by level if the variable is a factor type.
• Fix bug where split parameter didn’t work properly.
• If value is NA, sets to NA in dummy column rather than value of 0. Closes #18 by @DLustenBerger.

# fastDummies 1.4.1 Unreleased

• Fix bug when column is factor type when using split parameter. Thanks to Matthew Sigal for submitting issue on GitHub.

# fastDummies 1.4.0 2019-06-17

• Adds option to ignore NA values in dummy_cols (doesn’t make a variable_NA) column is selected. Thanks to juribep5 for the GitHub suggestion.
• Adds split parameter in dummy_cols to handle if a row has multiple categories. Thanks to Matthew Sigal and Andrew Fernandes for the GitHub suggestion.

# fastDummies 1.3.0 2019-04-22

• Adds option to sort dummy columns following the order of the original factor variable. Thanks to Patrick Baylis for the pull request with the code for this feature!

# fastDummies 1.2.0 2018-06-21

• Adds option to exclude the most frequently observed category rather than the first category as is default. Thanks to GitHub user S-UP for the suggestion!

# fastDummies 1.1.0 2018-03-03

• Thanks to GitHub user yu45020 dummy_cols() is now about >20% faster and much more memory efficient.

• Both dummy_cols() and dummy_rows() now return the same data type inputted e.g. data.frame input returns data.frame, tibble returns tibble.

• Fix documentation that incorrectly said default value for new dummy rows is 0. It is in fact a value of NA.

# fastDummies 1.0.0 2018-01-08

• Reduces number of parameter that were in previous version.

• Significant speed increases for both dummy_cols() and dummy_rows() functions.

• dummy_cols() now accepts numeric columns.