Nothing
Code
progression_matrix(as.list(ratios))
Condition
Error in `progression_matrix()`:
! `ratios` must be a data frame.
x You supplied a list.
Code
progression_matrix(r, grade_order = c("K", "1", "2"))
Condition
Error in `progression_matrix()`:
! Every non-entry grade must be fed by a progression ratio.
x Missing ratio feeding grade: 2.
i Add row to `ratios` with grade_to set to this grade.
Code
progression_matrix(fixture_ratios(), grade_order = "K")
Condition
Error in `progression_matrix()`:
! A projection matrix needs at least 2 grades.
x Found 1 grade.
i Supply a longer series via `ratios` or `grade_order`.
Code
progression_matrix(fixture_ratios(), grade_order = c("K", "1"))
Condition
Error in `progression_matrix()`:
! `ratios` references grade not in `grade_order`.
x Unknown grade: 2.
i Known grades: K and 1.
Code
progression_matrix(r)
Condition
Error in `progression_matrix()`:
! Could not determine a unique entry grade from `ratios`.
i Pass `grade_order` explicitly.
Code
progression_matrix(r, grade_order = c("K", "1", "2"))
Condition
Error in `progression_matrix()`:
! Each grade in `ratios` may be fed by only one progression ratio.
x Grade fed more than once: 1.
i Check grade_to in `ratios` for duplicate rows.
Code
progression_matrix(r)
Condition
Error in `progression_matrix()`:
! Each grade in `ratios` may be fed by only one progression ratio.
x Grade fed more than once: 1.
i Check grade_to in `ratios` for duplicate rows.
Code
progression_matrix(fixture_ratios(), grade_order = c("K", "1", "2", NA))
Condition
Error in `progression_matrix()`:
! `grade_order` must not contain missing values.
x Found 1 missing value.
Code
progression_matrix(fixture_ratios(), grade_order = c("K", "1", "2", "2"))
Condition
Error in `progression_matrix()`:
! `grade_order` must not contain duplicate grades.
x Duplicated grade: 2.
Code
progression_matrix(r)
Condition
Error in `progression_matrix()`:
! grade_from and grade_to in `ratios` must not be missing.
x Found 1 missing grade label.
Code
progression_matrix(r)
Condition
Error in `progression_matrix()`:
! The ratio column of `ratios` must be numeric.
x ratio is <character>.
Code
progression_matrix(r)
Condition
Error in `progression_matrix()`:
! The ratio column of `ratios` must be numeric.
x ratio is <logical>.
Code
progression_matrix(r)
Condition
Error in `progression_matrix()`:
! The ratio column of `ratios` must be non-negative.
x Found 1 negative value.
Code
progression_matrix(r)
Condition
Error in `progression_matrix()`:
! The ratio column of `ratios` must be finite.
x Found 1 infinite value.
i An infinite ratio comes from a zero-enrollment feeder grade; drop or adjust it before building the matrix.
Code
invisible(progression_matrix(r))
Condition
Warning:
1 ratio in `ratios` is NA or NaN.
! Grade fed by this ratio will project as NA.
Code
progression_matrix(r, grade_order = c("K", "1", "2"))
Condition
Error in `progression_matrix()`:
! Each ratio in `ratios` must feed the next grade up in `grade_order`.
x Non-adjacent transition: "2 -> K".
i Grade order: K, 1, and 2.
Code
progression_matrix(r, grade_order = c("K", "1", "2"))
Condition
Error in `progression_matrix()`:
! Each ratio in `ratios` must feed the next grade up in `grade_order`.
x Non-adjacent transitions: "K -> 2" and "2 -> 1".
i Grade order: K, 1, and 2.
Code
progression_matrix(r, grade_order = c("K", "1", "2"))
Condition
Error in `progression_matrix()`:
! Each ratio in `ratios` must feed the next grade up in `grade_order`.
x Non-adjacent transition: "K -> 2".
i Grade order: K, 1, and 2.
Code
chain_order(from, to)
Condition
Error:
! A grade feeds more than one grade in `ratios` (branching transitions).
i Pass `grade_order` explicitly.
Code
chain_order(from, to)
Condition
Error:
! Cycle detected in grade transitions in `ratios`.
i Pass `grade_order` explicitly.
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