Aggregation Functions — equally

A collection of functions to compute aggregated scores for each category.

equally_weighted() computes the aggregated category score by taking the mean of assignment scores
weighted_by_points() computes the aggregated category score by taking the weighted mean of assignment scores using a weights vector
max_score() computes the aggregated category score by taking the maximum of assignment scores
min_score() computes the aggregated category score by taking the minimum of assignment scores
none() is used if there is only one assignment in a category and returns that single score; otherwise it defaults to equally_weighted

Usage

equally_weighted(grades_mat, category, assignments, weights = c())

weighted_by_points(grades_mat, category, assignments, weights = c())

max_score(grades_mat, category, assignments, weights = c())

min_score(grades_mat, category, assignments, weights = c())

weighted_mean(grades_mat, category, assignments, weights)

none(grades_mat, category, assignments, weights = c())

Arguments

grades_mat: Matrix with assignments + associated columns for each category
category: Category name
assignments: Assignment names for this category
weights: Weights for weighted_mean, defaults to NULL with other aggregation method

Value

A matrix with the additional computation of the aggregated category score