pwl
pwl(x, y, [n_segments])
Input: x, y, n_segments · Output: no output
What it is
Continuous piecewise-linear least-squares fit through equal-length numeric Vecs x, y. n_segments (integer, positional, default 4) sets how many straight segments approximate the data; plotted through its own fitted breakpoints.
Overloads
One call shape — this function is not overloaded.
| Code | Input | Output | Description |
pwl(x, y, [n_segments]) | x VecContinuous piecewise-linear least-squares fit through equal-length numeric Vecs x, y.y VecContinuous piecewise-linear least-squares fit through equal-length numeric Vecs x, y.n_segments optionaln_segments (integer, positional, default 4) sets how many straight segments approximate the data. | no output | — |
Examples
From the documentation, and run by the build -- the output and the figure below are what the engine actually produced. Simplest first.
figure()
splineplot([0, 1, 2, 3, 4], [0, 2, 1, 3, 2])
figure()
pwl([0, 1, 2, 3, 4, 5, 6], [0, 1, 1.5, 3, 3.2, 3.5, 5])
figure()
spiderplot([3, 4, 2, 5, 4])
figure()
raincloud(randn(60, seed = 6), randn(60, seed = 7))
from plotting
How it works
pwl(x, y, [n_segments]) -- continuous piecewise-linear least-squares fit (default 4 segments), plotted directly as the polyline through its own breakpoints (see pwl_fit).
From the note above this builtin in the interpreter, where the reasoning was written down as it was built.