tidyverse/dplyr v0.4.3

dplyr 0.4.3

on GitHub

Improved encoding support

Until now, dplyr's support for non-UTF8 encodings has been rather shaky. This release brings a number of improvement to fix these problems: it's probably not perfect, but should be a lot better than the previously version. This includes fixes to arrange() (#1280), bind_rows() (#1265), distinct() (#1179), and joins (#1315). print.tbl_df() also recieved a fix for strings with invalid encodings (#851).

Other minor improvements and bug fixes

• frame_data() provides a means for constructing data_frames using
  a simple row-wise language. (#1358, @kevinushey)
• all.equal() no longer runs all outputs together (#1130).
• as_data_frame() gives better error message with NA column names (#1101).
• [.tbl_df is more careful about subsetting column names (#1245).
• arrange() and mutate() work on empty data frames (#1142).
• arrange(), filter(), slice(), and summarise() preserve data frame
  meta attributes (#1064).
• bind_rows() and bind_cols() accept lists (#1104): during initial data
  cleaning you no longer need to convert lists to data frames, but can
  instead feed them to bind_rows() directly.
• bind_rows() gains a .id argument. When supplied, it creates a
  new column that gives the name of each data frame (#1337, @lionel-).
• bind_rows() respects the ordered attribute of factors (#1112), and
  does better at comparing POSIXcts (#1125). The tz attribute is ignored
  when determining if two POSIXct vectors are comparable. If the tz of
  all inputs is the same, it's used, otherwise its set to UTC.
• data_frame() always produces a tbl_df (#1151, @kevinushey)
• filter(x, TRUE, TRUE) now just returns x (#1210),
  it doesn't internally modify the first argument (#971), and
  it now works with rowwise data (#1099). It once again works with
  data tables (#906).
• glimpse() also prints out the number of variables in addition to the number
  of observations (@ilarischeinin, #988).
• Joins handles matrix columns better (#1230), and can join Date objects
  with heterogenous representations (some Dates are integers, while other
  are numeric). This also improves all.equal() (#1204).
• Fixed percent_rank() and cume_dist() so that missing values no longer
  affect denominator (#1132).
• print.tbl_df() now displays the class for all variables, not just those
  that don't fit on the screen (#1276). It also displays duplicated column
  names correctly (#1159).
• print.grouped_df() now tells you how many groups there are.
• mutate() can set to NULL the first column (used to segfault, #1329) and
  it better protects intermediary results (avoiding random segfaults, #1231).
• mutate() on grouped data handles the special case where for the first few
  groups, the result consists of a logical vector with only NA. This can
  happen when the condition of an ifelse is an all NA logical vector (#958).
• mutate.rowwise_df() handles factors (#886) and correctly handles
  0-row inputs (#1300).
• n_distinct() gains an na_rm argument (#1052).
• The Progress bar used by do() now respects global option
  dplyr.show_progress (default is TRUE) so you can turn it off globally
  (@jimhester #1264, #1226).
• summarise() handles expressions that returning heterogenous outputs,
  e.g. median(), which that sometimes returns an integer, and other times a
  numeric (#893).
• slice() silently drops columns corresponding to an NA (#1235).
• ungroup.rowwise_df() gives a tbl_df (#936).
• More explicit duplicated column name error message (#996).
• When "," is already being used as the decimal point (getOption("OutDec")),
  use "." as the thousands separator when printing out formatted numbers
  (@ilarischeinin, #988).

Databases

• db_query_fields.SQLiteConnection uses build_sql rather than paste0
  (#926, @NikNakk)
• Improved handling of log() (#1330).
• n_distinct(x) is translated to COUNT(DISTINCT(x)) (@skparkes, #873).
• print(n = Inf) now works for remote sources (#1310).

Hybrid evaluation

• Hybrid evaluation does not take place for objects with a class (#1237).
• Improved $ handling (#1134).
• Simplified code for lead() and lag() and make sure they work properly on
  factors (#955). Both repsect the default argument (#915).
• mutate can set to NULL the first column (used to segfault, #1329).
• filter on grouped data handles indices correctly (#880).
• sum() issues a warning about integer overflow (#1108).