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fastDummies 1.6.3

  • 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

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

fastDummies 1.6.1

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

fastDummies 1.6.0

  • 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

  • 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

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

fastDummies 1.4.0

  • 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

  • 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

  • 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

  • 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

  • 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.