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.

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.

v0.2.2

• 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.

v0.2.1

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

v0.2.0

tblcheck 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).

v0.1.3

tblcheck 0.1.3

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

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).

v0.1.1

• 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).

v0.1.0: tblcheck 0.1.0

tblcheck v0.1.0

• 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.