dplyr 0.1.2

@hadley hadley released this Feb 24, 2014 · 3782 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 mutate.data.frame()
    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.