#' Lorenz attractor
#'
#' Generates data for plotting a Lorenz attractor and stores it in a data frame. The Rcpp implementation is from the blog post \href{https://fronkonstin.com/2017/11/07/drawing-10-million-points-with-ggplot-clifford-attractors/}{Drawing 10 Million Points With ggplot} by Antonio Sanchez Chinchon.
#' @param a,b,c Parameters
#' @param x0,y0,z0 Initial point coordinates
#' @param dt Time step
#' @param n Number of points to generate
#' @keywords Lorenz attractor
#' @export
#' @examples
#' lorenz_attractor()
lorenz_attractor <- function(a=2, b=0.7, c=26, x0=-1, y0=1, z0=-1, dt=0.01, n=10000) {
cppFunction('DataFrame createTrajectory(double a, double b, double c,
double x0, double y0, double z0, double dt, int n) {
// Create columns
NumericVector x(n);
NumericVector y(n);
NumericVector z(n);
x[0]=x0;
y[0]=y0;
z[0]=z0;
for(int i = 1; i < n; ++i) {
x[i] = x[i-1] + (a*(y[i-1]-x[i-1]))*dt;
y[i] = y[i-1] + (x[i-1]*(c-z[i-1])-y[i-1])*dt;
z[i] = z[i-1] + (x[i-1]*y[i-1]-b*z[i-1])*dt;
}
// Return a new data frame
return DataFrame::create(_["x"]= x, _["y"]= y, _["z"]= z);
}
')
result <- createTrajectory(a, b, c, x0, y0, z0, dt, n)
result
}
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