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tidyr 0.3.0
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@hadley hadley released this 08 Sep 12:10
v0.3.0
672bc60

New features

  • New complete() provides a wrapper around expand(), left_join() and
    replace_na() for a common task: completing a data frame with missing
    combinations of variables.
  • fill() fills in missing values in a column with the last non-missing
    value (#4).
  • New replace_na() makes it easy to replace missing values with something
    meaningful for your data.
  • nest() is the complement of unnest() (#3).
  • unnest() can now work with multiple list-columns at the same time.
    If you don't supply any columns names, it will unlist all
    list-columns (#44). unnest() can also handle columns that are
    lists of data frames (#58).

Bug fixes and minor improvements

  • tidyr no longer depends on reshape2. This should fix issues if you also
    try to load reshape (#88).
  • %>% is re-exported from magrittr.
  • expand() now works with non-standard column names (#87).
  • expand() now supports nesting and crossing (see examples for details).
    This comes at the expense of creating new variables inline (#46).
  • expand_ does SE evaluation correctly so you can pass it a character vector
    of columns names (or list of formulas etc) (#70).
  • extract() is 10x faster because it now uses stringi instead of
    base R regular expressions. It also returns NA instead of throwing
    an error if the regular expression doesn't match (#72).
  • extract() and separate() preserve character vectors when
    covert is TRUE (#99).
  • The internals of spread() have been rewritten, and now preserve all
    attributes of the input value column. This means that you can now
    spread date (#62) and factor (#35) inputs.
  • spread() gives a more informative error message if key or value don't
    exist in the input data (#36).
  • separate() only displays the first 20 failures (#50). It has
    finer control over what happens if there are two few matches:
    you can fill with missing values on either the "left" or the "right" (#49).
    separate() no longer throws an error if the number of pieces aren't
    as expected - instead it uses drops extra values and fills on the right
    and gives a warning.
  • If the input is NA separate() and extract() both return silently
    return NA outputs, rather than throwing an error. (#77)
  • Experimental unnest() method for lists has been removed.
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