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dplyr 0.1.2

@hadley hadley released this · 1590 commits to master since this release

New features

  • select() is substantially more powerful. You can use named arguments to
    rename existing variables, and new functions starts_with(), ends_with(),
    contains(), matches() and num_range() to select variables based on
    their names. It now also makes a shallow copy, substantially reducing its
    memory impact (#158, #172, #192, #232).

  • summarize() added as alias for summarise() for people from countries
    that don't don't spell things correctly ;) (#245)

Bug fixes

  • filter() now fails when given anything other than a logical vector, and
    correctly handles missing values (#249). filter.numeric() proxies
    stats::filter() so you can continue to use filter() function with
    numeric inputs (#264).

  • summarise() correctly uses newly created variables (#259).

  • mutate() correctly propagates attributes (#265) and
    correctly mutates the same variable repeatedly (#243).

  • lead() and lag() preserve attributes, so they now work with
    dates, times and factors (#166).

  • n() never accepts arguments (#223).

  • row_number() gives correct results (#227).

  • rbind_all() silently ignores data frames with 0 rows or 0 columns (#274).

  • group_by() orders the result (#242). It also checks that columns
    are of supported types (#233, #276).

  • The hybrid evaluator did not handle some expressions correctly, for
    example in if(n() > 5) 1 else 2 the subexpression n() was not
    substituted correctly. It also correctly processes $ (#278).

  • arrange() checks that all columns are of supported types (#266).

  • Working towards Solaris compatibility.

  • Benchmarking vignette temporarily disabled due to microbenchmark
    problems reported by BDR.


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