krlmlr pushed a commit that referenced this issue
Jul 4, 2016
Follow-up release. - `tibble()` is no longer an alias for `frame_data()` (#82). - Remove `tbl_df()` (#57). - `$` returns `NULL` if column not found, without partial matching. A warning is given (#109). - `[[` returns `NULL` if column not found (#109). - Reworked output: More concise summary (begins with hash `#` and contains more text (#95)), removed empty line, showing number of hidden rows and columns (#51). The trailing metadata also begins with hash `#` (#101). Presence of row names is indicated by a star in printed output (#72). - Format `NA` values in character columns as `<NA>`, like `print.data.frame()` does (#69). - The number of printed extra cols is now an option (#68, @lionel-). - Computation of column width properly handles wide (e.g., Chinese) characters, tests still fail on Windows (#100). - `glimpse()` shows nesting structure for lists and uses angle brackets for type (#98). - Tibbles with `POSIXlt` columns can be printed now, the text `<POSIXlt>` is shown as placeholder to encourage usage of `POSIXct` (#86). - `type_sum()` shows only topmost class for S3 objects. - Strict checking of integer and logical column indexes. For integers, passing a non-integer index or an out-of-bounds index raises an error. For logicals, only vectors of length 1 or `ncol` are supported. Passing a matrix or an array now raises an error in any case (#83). - Warn if setting non-`NULL` row names (#75). - Consistently surround variable names with single quotes in error messages. - Use "Unknown column 'x'" as error message if column not found, like base R (#94). - `stop()` and `warning()` are now always called with `call. = FALSE`. - The `.Dim` attribute is silently stripped from columns that are 1d matrices (#84). - Converting a tibble without row names to a regular data frame does not add explicit row names. - `as_tibble.data.frame()` preserves attributes, and uses `as_tibble.list()` to calling overriden methods which may lead to endless recursion. - New `has_name() (#102). - Prefer `tibble()` and `as_tibble()` over `data_frame()` and `as_data_frame()` in code and documentation (#82). - New `is.tibble()` and `is_tibble()` (#79). - New `enframe()` that converts vectors to two-column tibbles (#31, #74). - `obj_sum()` and `type_sum()` show `"tibble"` instead of `"tbl_df"` for tibbles (#82). - `as_tibble.data.frame()` gains `validate` argument (as in `as_tibble.list()`), if `TRUE` the input is validated. - Implement `as_tibble.default()` (#71, tidyverse/dplyr#1752). - `has_rownames()` supports arguments that are not data frames. - Two-dimensional indexing with `[[` works (#58, #63). - Subsetting with empty index (e.g., `x`) also removes row names. - Document behavior of `as_tibble.tbl_df()` for subclasses (#60). - Document and test that subsetting removes row names. - Don't rely on `knitr` internals for testing (#78). - Fix compatibility with `knitr` 1.13 (#76). - Enhance `knit_print()` tests. - Provide default implementation for `tbl_sum.tbl_sql()` and `tbl_sum.tbl_grouped_df()` to allow `dplyr` release before a `tibble` release. - Explicit tests for `format_v()` (#98). - Test output for `NULL` value of `tbl_sum()`. - Test subsetting in all variants (#62). - Add missing test from dplyr. - Use new `expect_output_file()` from `testthat`.