iv_relates() is similar to iv_overlaps(), but it detects a
specific set of relations developed by James Allen in the paper:
Maintaining Knowledge about Temporal Intervals.
Arguments
- needles, haystack
[iv]Interval vectors used for relation matching.
Each element of
needlesrepresents the interval to search for.haystackrepresents the intervals to search in.
Prior to comparison,
needlesandhaystackare coerced to the same type.- ...
These dots are for future extensions and must be empty.
- type
[character(1)]The type of relationship to find. See the Allen's Interval Algebra section for a complete description of each type. One of:
"precedes""preceded-by""meets""met-by""overlaps""overlapped-by""starts""started-by""during""contains""finishes""finished-by""equals"
- missing
[logical(1) / "equals" / "error"]Handling of missing intervals in
needles."equals"considers missing intervals inneedlesas exactly equal to missing intervals inhaystackwhen determining if there is a matching relationship between them. Matched missing intervals inneedlesresult in aTRUEvalue in the result, and unmatched missing intervals result in aFALSEvalue."error"throws an error if any intervals inneedlesare missing.If a single logical value is provided, this represents the value returned in the result for intervals in
needlesthat are missing. You can force missing intervals to be unmatched by setting this toFALSE, and you can force them to be propagated by setting this toNA.
Allen's Interval Algebra
The interval algebra developed by James Allen serves as a basis and
inspiration for iv_locate_overlaps(), iv_locate_precedes(), and
iv_locate_follows(). The original algebra is composed of 13 relations
which have the following properties:
Distinct: No pair of intervals can be related by more than one
type.Exhaustive: All pairs of intervals are described by one of the
types.Qualitative: No numeric intervals are considered. The relationships are computed by purely qualitative means.
Take the notation that x and y represent two intervals. Now assume that
x can be represented as [x_s, x_e), where x_s is the start of the
interval and x_e is the end of it. Additionally, assume that x_s < x_e.
With this notation, the 13 relations are as follows:
Precedes:
x_e < y_sPreceded-by:
x_s > y_eMeets:
x_e == y_sMet-by:
x_s == y_eOverlaps:
(x_s < y_s) & (x_e > y_s) & (x_e < y_e)Overlapped-by:
(x_e > y_e) & (x_s < y_e) & (x_s > y_s)Starts:
(x_s == y_s) & (x_e < y_e)Started-by:
(x_s == y_s) & (x_e > y_e)Finishes:
(x_s > y_s) & (x_e == y_e)Finished-by:
(x_s < y_s) & (x_e == y_e)During:
(x_s > y_s) & (x_e < y_e)Contains:
(x_s < y_s) & (x_e > y_e)Equals:
(x_s == y_s) & (x_e == y_e)
Note that when missing = "equals", missing intervals will only match
the type = "equals" relation. This ensures that the distinct property
of the algebra is maintained.
Connection to other functions
Note that some of the above relations are fairly restrictive. For example,
"overlaps" only detects cases where x straddles y_s. It does not
consider the case where x and y are equal to be an overlap (as this
is "equals") nor does it consider when x straddles y_e to be an
overlap (as this is "overlapped-by"). This makes the relations extremely
useful from a theoretical perspective, because they can be combined without
fear of duplicating relations, but they don't match our typical expectations
for what an "overlap" is.
iv_locate_overlaps(), iv_locate_precedes(), and iv_locate_follows() use
more intuitive types that aren't distinct, but typically match your
expectations better. They can each be expressed in terms of Allen's
relations:
"any":overlaps | overlapped-by | starts | started-by | finishes | finished-by | during | contains | equals"contains":contains | started-by | finished-by | equals"within":during | starts | finishes | equals"starts":starts | started-by | equals"ends":finishes | finished-by | equals"equals":equals
-
precedes | meets -
preceded-by | met-by
Examples
x <- iv(1, 3)
y <- iv(3, 4)
# `"precedes"` is strict, and doesn't let the endpoints match
iv_relates(x, y, type = "precedes")
#> [1] FALSE
# Since that is what `"meets"` represents
iv_relates(x, y, type = "meets")
#> [1] TRUE
# `"overlaps"` is a very specific type of overlap where an interval in
# `needles` straddles the start of an interval in `haystack`
x <- iv_pairs(c(1, 4), c(1, 3), c(0, 3), c(2, 5))
y <- iv(1, 4)
# It doesn't match equality, or when the starts match, or when the end
# of the interval in `haystack` is straddled instead
iv_relates(x, y, type = "overlaps")
#> [1] FALSE FALSE TRUE FALSE