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glimpse() gets default width from tibble.width #56

Merged
merged 1 commit into from
Mar 21, 2016
Merged

glimpse() gets default width from tibble.width #56

merged 1 commit into from
Mar 21, 2016

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@krlmlr krlmlr commented Mar 21, 2016

just like trunc_mat().

  • Extract tibble_width()
  • With test

Fixes #35.

glimpse() gets default width from tibble.width
5698595 
just like trunc_mat().

- Extract tibble_width()
- With test
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Current coverage is 100.00%

Merging #56 into master will not affect coverage as of 5698595

@@            master     #56   diff @@
======================================
  Files           14      14       
  Stmts          437     439     +2
  Branches         0       0       
  Methods          0       0       
======================================
+ Hit            437     439     +2
  Partial          0       0       
  Missed           0       0

Review entire Coverage Diff as of 5698595

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krlmlr added a commit that referenced this pull request Mar 21, 2016
@krlmlr
Merge pull request #56 from hadley/feature/35-glimpse-width
4c641f4 
- `glimpse()` obtains default width from `tibble.width` option (#35, #56).
@krlmlr krlmlr merged commit 4c641f4 into master Mar 21, 2016
@krlmlr krlmlr deleted the feature/35-glimpse-width branch March 21, 2016 19:08
krlmlr pushed a commit that referenced this pull request Mar 21, 2016
Merge tag 'v0.3-6'
731c5b3 
- `glimpse()` obtains default width from `tibble.width` option (#35, #56).
- Don't export `dim_desc()` (#50, #55).
- Don't test R-devel on AppVeyor because of missing directory on CRAN.
- Edits to `README` (#54, @jennybc).
krlmlr pushed a commit that referenced this pull request Mar 21, 2016
Merge tag 'v0.4'
d91b064 
- Interface changes
    - `glimpse()` obtains default width from `tibble.width` option (#35, #56).
    - Don't export `dim_desc()` (#50, #55).
    - New `has_rownames()` and `remove_rownames()` (#44).
- Minor modifications
    - `frame_data()` returns 0-row but n-col data frame if no data.
    - `[[.tbl_df()` now falls back to regular subsetting when used with anything other than a single string (#29).
    - When used in list-columns, S4 objects only print the class name rather than the full class hierarchy (#33).
    - Add test that `[.tbl_df()` does not change class (#41, @jennybc).
    - Improve `[.tbl_df()` error message.
- Documentation
    - Improve documentation and vignette.
    - Update README, with edits (#52, @bhive01) and enhancements (#54, @jennybc).
- Code quality
    - Full test coverage (#24, #53).
    - Renamed `obj_type()` to `obj_sum()`, improvements, better integration with `type_sum()`.
    - Cleanup for `column_to_rownames()` and `rownames_to_columns()` (#45).
    - Cleanup for `repair_names()` (#43). Whitespace are not touched by this function (#47).
    - Cleanup for `add_row()` (#46).
    - Regression tests load known output from file (#49).
    - Internal cleanup.
    - Don't test R-devel on AppVeyor because of missing directory on CRAN.
krlmlr pushed a commit that referenced this pull request Mar 22, 2016
Merge tag 'v1.0'
69b9a89 
- Initial CRAN release

- Extracted from `dplyr` 0.4.3

- Exported functions:
    - `tbl_df()`
    - `as_data_frame()`
    - `data_frame()`, `data_frame_()`
    - `frame_data()`, `tibble()`
    - `glimpse()`
    - `trunc_mat()`, `knit_print.trunc_mat()`
    - `type_sum()`
    - New `lst()` and `lst_()` create lists in the same way that
      `data_frame()` and `data_frame_()` create data frames (tidyverse/dplyr#1290).
      `lst(NULL)` doesn't raise an error (#17, @jennybc), but always
      uses deparsed expression as name (even for `NULL`).
    - New `add_row()` makes it easy to add a new row to data frame
      (tidyverse/dplyr#1021).
    - New `rownames_to_column()` and `column_to_rownames()` (#11, @zhilongjia).
    - New `has_rownames()` and `remove_rownames()` (#44).
    - New `repair_names()` fixes missing and duplicate names (#10, #15,
      @r2evans).
    - New `is_vector_s3()`.

- Features
    - New `as_data_frame.table()` with argument `n` to control name of count
      column (#22, #23).
    - Use `tibble` prefix for options (#13, #36).
    - `glimpse()` now (invisibly) returns its argument (tidyverse/dplyr#1570). It
      is now a generic, the default method dispatches to `str()`
      (tidyverse/dplyr#1325).  The default width is obtained from the
      `tibble.width` option (#35, #56).
    - `as_data_frame()` is now an S3 generic with methods for lists (the old
      `as_data_frame()`), data frames (trivial), matrices (with efficient
      C++ implementation) (tidyverse/dplyr#876), and `NULL` (returns a 0-row
      0-column data frame) (#17, @jennybc).
    - Non-scalar input to `frame_data()` and `tibble()` (including lists)
      creates list-valued columns (#7). These functions return 0-row but n-col
      data frame if no data.

- Bug fixes
    - `frame_data()` properly constructs rectangular tables (tidyverse/dplyr#1377,
      @kevinushey).

- Minor modifications
    - Uses `setOldClass(c("tbl_df", "tbl", "data.frame"))` to help with S4
      (tidyverse/dplyr#969).
    - `tbl_df()` automatically generates column names (tidyverse/dplyr#1606).
    - `tbl_df`s gain `$` and `[[` methods that are ~5x faster than the defaults,
      never do partial matching (tidyverse/dplyr#1504), and throw an error if the
      variable does not exist.  `[[.tbl_df()` falls back to regular subsetting
      when used with anything other than a single string (#29).
      `base::getElement()` now works with tibbles (#9).
    - `all_equal()` allows to compare data frames ignoring row and column order,
      and optionally ignoring minor differences in type (e.g. int vs. double)
      (tidyverse/dplyr#821).  Used by `all.equal()` for tibbles.  (This package
      contains a pure R implementation of `all_equal()`, the `dplyr` code has
      identical behavior but is written in C++ and thus faster.)
    - The internals of `data_frame()` and `as_data_frame()` have been aligned,
      so `as_data_frame()` will now automatically recycle length-1 vectors.
      Both functions give more informative error messages if you are attempting
      to create an invalid data frame.  You can no longer create a data frame
      with duplicated names (tidyverse/dplyr#820).  Both functions now check that
      you don't have any `POSIXlt` columns, and tell you to use `POSIXct` if you
      do (tidyverse/dplyr#813).  `data_frame(NULL)` raises error "must be a 1d
      atomic vector or list".
    - `trunc_mat()` and `print.tbl_df()` are considerably faster if you have
      very wide data frames.  They will now also only list the first 100
      additional variables not already on screen - control this with the new
      `n_extra` parameter to `print()` (tidyverse/dplyr#1161).  The type of list
      columns is printed correctly (tidyverse/dplyr#1379).  The `width` argument is
      used also for 0-row or 0-column data frames (#18).
    - When used in list-columns, S4 objects only print the class name rather
      than the full class hierarchy (#33).
    - Add test that `[.tbl_df()` does not change class (#41, @jennybc).  Improve
      `[.tbl_df()` error message.

- Documentation
    - Update README, with edits (#52, @bhive01) and enhancements (#54,
      @jennybc).
    - `vignette("tibble")` describes the difference between tbl_dfs and
      regular data frames (tidyverse/dplyr#1468).

- Code quality
    - Test using new-style Travis-CI and AppVeyor. Full test coverage (#24,
      #53). Regression tests load known output from file (#49).
    - Renamed `obj_type()` to `obj_sum()`, improvements, better integration with
     `type_sum()`.
    - Internal cleanup.
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Use tibble.width as default width in glimpse()
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@krlmlr @codecov-io