Grade this table

Automatically grade a table resulting from student code using gradethis::grade_this() and tbl_grade() to compare the student's result with the author's solution.

Usage

grade_this_table(
  correct = NULL,
  pre_check = NULL,
  post_check = NULL,
  pass_if_equal = TRUE,
  ...,
  max_diffs = 3,
  cols = NULL,
  check_class = TRUE,
  ignore_class = NULL,
  check_names = TRUE,
  check_column_order = FALSE,
  check_dimensions = TRUE,
  check_groups = TRUE,
  check_columns = TRUE,
  check_column_class = check_columns,
  check_column_values = check_columns,
  hint = getOption("gradethis.fail.hint", FALSE),
  encourage = getOption("gradethis.fail.encourage", FALSE),
  pass.praise = NULL
)

Arguments

correct

[character(1)]
The message shown to the student when their .result matches the exercise .solution, if pass_if_equal is TRUE.

pre_check, post_check

[expression]
Code to run before or after the table or vector grading is performed. The pre check runs before calling gradethis::pass_if_equal() so that you can modify or adjust the student's .result or the .solution if there are parts of either that need to be ignored. These arguments can also be used in conjunction with the pass_if_equal option when the grading requirements are more involved.

pass_if_equal

[logical(1)]
When TRUE (default), the .result is compared to the .solution with gradethis::pass_if_equal() after the pre check and before calling the tblcheck grading function. When FALSE, you will need to include your own call to gradethis::pass() in either pre_check or post_check for the student to be able to receive a passing grade.

...

Additional arguments passed to graded() or additional data to be included in the feedback object.

max_diffs

[numeric(1)]
The maximum number of mismatched values to display in an informative failure message. Passed to tbl_check_names() to determine the number of mismatched column names to display and the n_values argument of tbl_check_column() to determine the number of mismatched column values to display. Defaults to 3.

cols

[tidy-select]
A selection of columns to compare between object and expected. Differences in other columns will be ignored. If NULL, the default, all columns will be checked.

check_class

[logical(1)]
Whether to check that object and expected have the same classes with tbl_check_class().

ignore_class

[character()]
A vector of classes to ignore when finding differences between object and expected.

If an element is named, differences will only be ignored between the pair of the element and its name. For example, ignore_class = c("integer" = "numeric") will ignore class differences only if object has class integer and expected has class numeric, or vice versa.

If all the classes of expected are included in ignore_class, a class problem will never be returned.

check_names

[logical(1)]
Whether to check that object and expected have the same column names with tbl_check_names().

check_column_order

[logical(1)]
Whether to check that the columns of object are in the same order as expected with tbl_check_names(). Defaults to FALSE.

check_dimensions

[logical(1)]
Whether to check that object and expected have the same number of rows and columns with tbl_check_dimensions().

check_groups

[logical(1)]
Whether to check that object and expected have the same groups with dplyr::group_vars().

check_columns

[logical(1)]
Whether to check that all columns have the same contents with tbl_check_column().

check_column_class

[logical(1)]
Whether to check that each columns has the same class in object and expected.

check_column_values

[logical(1)]
Whether to check that each column has the same values in object and expected.

hint

Include a code feedback hint with the failing message? This argument only applies to fail() and fail_if_equal() and the message is added using the default options of give_code_feedback() and maybe_code_feedback(). The default value of hint can be set using gradethis_setup() or the gradethis.fail.hint option.

encourage

Include a random encouraging phrase with random_encouragement()? The default value of encourage can be set using gradethis_setup() or the gradethis.fail.encourage option.

pass.praise

Logical TRUE or FALSE to determine whether a praising phrase should be automatically prepended to any pass() or pass_if_equal() messages. Sets the gradethis.pass.praise option.

Value

The returned feedback is equivalent to gradethis grading code using grade_this() with the following components:

First the pre_check code, if any, is evaluated. If this code calls pass(), fail(), or their equivalents, that feedback is provided immediately.
If pass_if_equal is TRUE, then pass_if_equal() is called to compare the .result to the .solution. The message in correct is used for the feedback.
The appropriate tblcheck grading function is called, returning any feedback:
1. grade_this_table() returns the results from tbl_grade()
2. grade_this_vector() returns the results from vec_grade()
The post_check code, if any, is evaluated and any feedback from a call to pass(), fail(), or their equivalents is returned.
Finally, if no other feedback is returned, the feedback from gradethis::fail() is provided to the student, using the options fail.message, fail.hint and fail.encourage.

Examples

ex <- gradethis::mock_this_exercise(
  .solution_code = tibble::tibble(x = 1:3, y = letters[x]),
  .user_code = tibble::tibble(x = 1:3, y = c("A", "b", "c"))
)

## Grading Tables ----
grade_this_table()(ex)
#> #> grade_this_table()(ex)
#> Error in get(".__tblcheck_grader_args"): object '.__tblcheck_grader_args' not found
#> <tblcheck_graded: [Neutral]
#>   A problem occurred with the grading code for this exercise.
#> >

# Roughly equivalent to...
gradethis::grade_this({
  gradethis::pass_if_equal()
  tbl_grade()
  gradethis::fail()
})(ex)
#> <gradethis_graded: [Incorrect]
#>   The first 3 values of your `y` column should be `a`, `b`, and
#>   `c`, not `A`, `b`, and `c`.
#> >

Usage

Arguments

Value

See also

Examples