Changes in version 0.3.1                        

  - Add check_row_order argument to tbl_check(), tbl_grade(), and
    tbl_equal(). When check_row_order() is set to false, object and
    expected are arranged so that their row orders match before checking
    for differences in column values.

                        Changes in version 0.3.0                        

  - Add tbl_equal(), which returns a TRUE or FALSE value indicating if
    two tables are equivalent, using the same process as tbl_check().
  - tbl_check(), tbl_grade(), tbl_check_column(), tbl_grade_column() and
    vec_grade() gain arguments to set whether they will check the levels
    of factors.
  - vec_check() and vec_grade() now only check factor levels if both
    object and expected are factors. In most cases, this difference
    would be caught earlier by class checking. Previously, calling
    vec_check(x, factor(x), check_class = FALSE) would signal a problem
    because one vector has levels and the other does not.

                        Changes in version 0.2.2                        

  - Messages generated by tbl_grade_class() now internally call two
    generic S4 functions:
      - friendly_class() generates class names for single objects.
          - e.g. friendly_class(character(1)) returns "a text string
            (class character)".
      - hinted_class_message() generates messages when object and
        expected are both a specific class.
          - e.g. if object is an ungrouped tibble and expected is a
            grouped tibble, hinted_class_message() generates a message
            that suggests using group_by().
      - Using generic functions allows tbl_grade_class() messages to be
        expanded by adding methods for new classes in tutorial setup
        code or external packages.

                        Changes in version 0.2.1                        

  - grade_this_table() now sets pass_if_equal = FALSE by default (#128).

                        Changes in version 0.2.0                        

  - Improve messages generated by tbl_grade_class():
    
      - Messages now only suggest using the functions group_by(),
        ungroup() and rowwise() if both object and expected are
        data.frames (#119).
      - Messages now describe non-atomic variables with length > 1 as
        "objects", not "vectors" (#122).

  - problem() and problem_message() are now exported functions. The
    first helps other packages create problem objects and the second is
    a generic method that can be used to turn a problem object into a
    human readable description (#124).

Deprecated Functions

  - tblcheck_grade() is now called problem_grade(). The old function
    name will continue to work, but a deprecation warning will prompt
    you to update to problem_grade() (#124).

                        Changes in version 0.1.3                        

  - Add tolerance argument to vec_*_values() (#111).

                        Changes in version 0.1.2                        

  - Adds argument ignore_class to class checks (and passed by table,
    vector, and column checks), specifying class differences to ignore
    (#109).
  - Table checking now ignores the grouped_df class if check_groups =
    FALSE (#109).
  - Classes are now checked with setequal() instead of identical(), so
    objects with the same classes in different orders will not trigger a
    class problem (#109).
  - Fixed a bug where a message would not be generated for a values
    problem where two vectors were different but were made up of the
    same unique values (e.g. c(1, 2, 3) and c(2, 1, 3, 2)) (#104).

                        Changes in version 0.1.1                        

  - Fixed the messages for values problems originating in columns to
    mention the problematic column (#100).
  - A new vignette with exercise examples demonstrates the types of
    feedback grade_this_table() and grade_this_vector() provide (#95).
  - vec_grade_values() now treats NA values in the same position of the
    object and expected vectors as equal (#96).
  - grade_this_table() was updated to include the cols and
    check_column_order arguments that were recently added to tbl_grade()
    (#92).

                        Changes in version 0.1.0                        

  - New package for inspecting data frames and vectors for grading with
    gradethis.
  - Includes drop-in gradethis-style grading for tables and vectors that
    compare the student's result with the exercies -solution:
      - grade_this_table() for automated grading of tables
      - grade_this_vector() for automated grading of vectors
  - Additional, lower-level functions come in two variants, a grade
    function that returns a gradethis grade and a check function that
    returns a list detailing the differences between actual and expected
    output.
  - Includes three general purpose checking functions:
    1.  tbl_grade() and tbl_check() check that a tibble or data frame
        matches an expected output.
    2.  vec_grade() and vec_check() check that a vector marches an
        expected output.
    3.  tbl_grade_column() and tbl_check_column() check that a single
        column of a tibble or data frame matches an expected output
        (powered by vec_grade() and vec_check()).
  - Includes six even more specific checking functions:
    1.  tbl_grade_class(), tbl_check_class(), vec_grade_class() and
        vec_check_class() check that the class of an object matches that
        of an expected output.
    2.  tbl_grade_dimensions(), tbl_check_dimensions(),
        vec_grade_dimensions() and vec_check_dimensions() check that the
        length, number of rows and columns, and number of dimensions of
        an object match that of an expected output.
    3.  tbl_grade_groups() and tbl_check_groups() check that the groups
        of a table (created by dplyr::group_by()) match that of an
        expected output.
    4.  vec_grade_levels() and vec_check_levels() check that the levels
        of a factor match that of an expected output.
    5.  tbl_grade_names(), tbl_check_names(), vec_grade_names() and
        vec_check_names() check that the names of an object match that
        of an expected output.
    6.  vec_grade_values() and vec_check_values() check that the values
        of a vector match that of an expected output.
  - Also includes a number of functions for dealing with the problem
    output of check functions.