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Key Functions

Source: R/get-grades.R
score.Rd

A collection of functions that correspond to the keys used in the policy YAML file: each function/key corresponds to a specific cluster of grading functionality.

  • score() computes the percentage score and saves back into the column with the original assignment score

  • aggregation() computes the category score by aggregating the associated assignment scores

  • lateness() applies any relevant lateness penalty within the given thresholds

  • drop_n_lowest() drops the n lowest assignment scores; if n >= num of assignments, returns highest assignment score

  • aggregation_max_pts() computes the maximum possible points for each category

  • aggregation_lateness() computes the aggregated lateness for each category

Usage

score(grades_mat, policy_line, category, assignments, weights = c())

aggregation(grades_mat, policy_line, category, assignments, weights = c())

lateness(grades_mat, policy_line, category, assignments, weights = c())

drop_n_lowest(grades_mat, policy_line, category, assignments, weights = c())

aggregation_max_pts(
  grades_mat,
  policy_line,
  category,
  assignments,
  weights = c()
)

aggregation_lateness(
  grades_mat,
  policy_line,
  category,
  assignments,
  weights = c()
)

Arguments

grades_mat

Matrix with assignments + associated columns for that category

policy_line

Policy list item for each key

category

Category name

assignments

Assignment names for this category as a vector

weights

Weights for weighted_mean as a vector

Value

A matrix with the additional computation from the relevant key function