Evaluates spline on given points
Function which uses output from
sps_prep to evaluate spline on given set of tabulation points
Output of sps_prep function; list containing values of data points, derivatives on the points, degrees of polynomial, etc. see:
Vector or matrix of x-coordinates of tabulation points.
vector of requested derivatives of spline with respect to x. By default will return values of spline. If
Vector or matrix of y-coordinates of tabulation points. For bi-variate case only.
For bi-variate case only. Vector of requested derivatives of spline with respect to y. By default will return values of spline. If
For bi-variate case only. If
Der.x and der.y need some more attention for bi-variate case. If they are not provided they are both assumed to be 0. If user needs more then 1 derivative then length of
der.y must be equal. For example if
der.x = c(0,1,0) and
der.y = c(0,0,1) than function will return values of spline, values of partial derivative with respect to x and partial derivative with respect to y, respectively, on each tabulation point in a form of list of vectors or matrices.
If length of
der.x = 1 function will return vector or matrix of values, depending on parameter
grid. Otherwise if length of
der.x is greater than 1, function will return list of vectors or matrices depending on
Szymon Sacher <firstname.lastname@example.org> & Andrew Clausen <email@example.com>
Excerpts adapted from Fortran code Copyright (C) Paolo Costantini
Costantini, P; Fontanella, F; 'Shape Preserving Bi-variate Interpolation' sSIAM J NUMER. ANAL. Vol. 27, No.2, pp. 488-506, April 1990
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## Univariate example x <- c( 1, 2, 3, 4, 5, 6) y <- c(16 ,18, 21, 17, 15, 12) spline <- sps_prep(x, y, shape = 'monotonicity', smoothness = 2) plot(seq(1, 6, 0.1), sps_eval(spline, seq(1, 6, 0.1))) ## Bivariate example fun <- function(x,y) pmax(0, sin(pi*x) * sin(pi*y)) X <- seq(-1, 2, 0.5) Y <- seq(-1, 1, 0.5) grid <- mesh(X, Y) Z <- matrix(fun(grid$x, grid$y), ncol = length(Y)) X_ <- seq(-1, 2, 0.05) Y_ <- seq(-1, 1, 0.05) # Prepare spline parameters spline <- sps_prep(X, Y, Z) # evaluate spline on grid of tabulation points spanned by X_ and Y_ eval <- sps_eval(spline, x = X_, y = Y_, grid = TRUE) # Plot resulting data persp3D(X_, Y_, eval)
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