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Document print.tbl_df #121
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krlmlr
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- `print.tbl_df()` gains `n_extra` method and will have the same interface as `trunc_mat()` from now on. - Added more examples for `print.tbl_df()`, now using data from `nycflights13` instead of `Lahman` (#121). - Full test coverage.
krlmlr
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Aug 26, 2016
- The `tibble.width` option is used for `glimpse()` only if it is finite (#153, @kwstat). - New `as_tibble.poly()` to support conversion of a `poly` object to a tibble (#110). - `add_row()` now correctly handles existing columns of type `list` that are not updated (#148). - `all.equal()` doesn't throw an error anymore if one of the columns is named `na.last`, `decreasing` or `method` (#107, @BillDunlap). - New `add_column()`, analogously to `add_row()` (#99). - `print.tbl_df()` gains `n_extra` method and will have the same interface as `trunc_mat()` from now on. - `add_row()` and `add_column()` gain `.before` and `.after` arguments which indicate the row (by number) or column (by number or name) before or after which the new data are inserted. Updated or added columns cannot be named `.before` or `.after` (#99). - Rename `frame_data()` to `tribble()`, stands for "transposed tibble". The former is still available as alias (#132, #143). - `add_row()` now can add multiple rows, with recycling (#142, @jennybc). - Use multiply character `×` instead of `x` when printing dimensions (#126). Output tests had to be disabled for this on Windows. - Back-tick non-semantic column names on output (#131). - Use `dttm` instead of `time` for `POSIXt` values (#133), which is now used for columns of the `difftime` class. - Better output for 0-row results when total number of rows is unknown (e.g., for SQL data sources). - New object summary vignette that shows which methods to define for custom vector classes to be used as tibble columns (#151). - Added more examples for `print.tbl_df()`, now using data from `nycflights13` instead of `Lahman` (#121), with guidance to install `nycflights13` package if necessary (#152). - Minor changes in vignette (#115, @Helix123).
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