datawizard 0.9.0

NEW FUNCTIONS

• row_means(), to compute row means, optionally only for the rows with at
  least min_valid non-missing values.

• contr.deviation() for sum-deviation contrast coding of factors.

• means_by_group(), to compute mean values of variables, grouped by levels
  of specified factors.

• data_seek(), to seek for variables in a data frame, based on their
  column names, variables labels, value labels or factor levels. Searching for
  labels only works for "labelled" data, i.e. when variables have a label or
  labels attribute.

CHANGES

• recode_into() gains an overwrite argument to skip overwriting already
  recoded cases when multiple recode patterns apply to the same case.

• recode_into() gains an preserve_na argument to preserve NA values
  when recoding.

• data_read() now passes the encoding argument to data.table::fread().
  This allows to read files with non-ASCII characters.

• datawizard moves from the GPL-3 license to the MIT license.

• unnormalize() and unstandardize() now work with grouped data (#415).

• unnormalize() now errors instead of emitting a warning if it doesn't have the
  necessary info (#415).

BUG FIXES

• Fixed issue in labels_to_levels() when values of labels were not in sorted
  order and values were not sequentially numbered.

• Fixed issues in data_write() when writing labelled data into SPSS format
  and vectors were of different type as value labels.

• Fixed issue in recode_into() with probably wrong case number printed in the
  warning when several recode patterns match to one case.

• Fixed issue in recode_into() when original data contained NA values and
  NA was not included in the recode pattern.

• Fixed issue in data_filter() where functions containing a = (e.g. when
  naming arguments, like grepl(pattern, x = a)) were mistakenly seen as
  faulty syntax.

• Fixed issue in empty_column() for strings with invalid multibyte strings.
  For such data frames or files, empty_column() or data_read() no longer
  fails.