So I am trying to create a heatmap of the logistic map for lambda =2.5 till lambda 4, showing that some outcomes are more common than others as part of my thesis. However so far I did not came far. I plotted the logistic map, however the heatmap part is a bit of a hassle and I can't find how to do it. So, how do I create a heatmap using the coding that I have?
% Logistics Map
% Classic chaos example. Plots semi-stable values of
% x(n+1) = r*x(n)*(1-x(n)) as r increases to 4.
%
clear
scale = 1000; % determines the level of rounding
maxpoints = 200; % determines maximum values to plot
N = 3000; % number of "r" values to simulate
a = 2.5; % starting value of "r"
b = 4; % final value of "r"... anything higher diverges.
rs = linspace(a,b,N); % vector of "r" values
M = 500; % number of iterations of logistics equation
% Loop through the "r" values
for j = 1:length(rs)
r=rs(j); % get current "r"
x=zeros(M,1); % allocate memory
x(1) = 0.5; % initial condition (can be anything from 0 to 1)
for i = 2:M, % iterate
x(i) = r*x(i-1)*(1-x(i-1));
end
% only save those unique, semi-stable values
out{j} = unique(round(scale*x(end-maxpoints:end)));
end
% Rearrange cell array into a large n-by-2 vector for plotting
data = [];
for k = 1:length(rs)
n = length(out{k});
data = [data; rs(k)*ones(n,1),out{k}];
end
% Plot the data
figure(97);clf
h=plot(data(:,1),data(:,2)/scale,'b.');
set(h,'markersize',0.25)
ylim([0 1])
set(gcf,'color','w')
Thanks a lot in advance!