gaussian.spot.mat: Produce bivariate density surface

In ClairBee/IO.Pixels: Functions for analysis of distribution of dead pixels (part of Inside Out project).

Description

Produce bivariate density surface from given parameters and return as array

Usage

gaussian.spot.mat(par, arr.dim = c(2048, 2048))

Arguments

par	Vector of named parameters
arr.dim	Dimensions of array to be produced. Default is c(2048, 2048).

Value

Array of given dimensions containing evaluated surface at each point.

Examples

fitted.spot <- gaussian.spot.ls(pw.m[,,"grey", "160430"], c(A = 15000, x0 = 1024.5, y0 = 1024.5, sig.x = 500, sig.y = 500))
pixel.image(gaussian.spot.mat(fitted.spot$par, arr.dim = c(2048, 2048)))

ClairBee/IO.Pixels documentation built on May 6, 2019, 11:50 a.m.