sin_sixteen_pi¶
- hyppo.tools.sin_sixteen_pi(n, p, noise=False, low=- 1, high=1)¶
- Sine 16\(\pi\) simulation. - Sine 16\(\pi\) \((X, Y) \in \mathbb{R}^p \times \mathbb{R}^p\): \(U \sim \mathcal{U}(-1, 1)\), \(V \sim \mathcal{N}(0, 1)^p\), \(\theta = 16 \pi\), \[\begin{split}X_{|d|} &= U + 0.02 p V_{|d|}\ \mathrm{for}\ d = 1, ..., p \\ Y &= \sin (\theta X) + \kappa \epsilon\end{split}\]- Parameters
- n ( - int) -- The number of samples desired by the simulation (>= 5).
- p ( - int) -- The number of dimensions desired by the simulation (>= 1).
- noise ( - bool, default:- False) -- Whether or not to include noise in the simulation.
- low ( - float, default:- 1) -- The lower limit of the uniform distribution simulated from.
- high ( - float, default:- 1) -- The upper limit of the uniform distribution simulated from.
 
- Returns
- x,y ( - ndarrayof- float) -- Simulated data matrices.- x` and ``yhave shapes- (n, p)and- (n, p)where n is the number of samples and p is the number of dimensions.