Demo entry 6899975

pro1

   

Submitted by anonymous on Oct 09, 2019 at 17:03
Language: Matlab. Code size: 1.2 kB.

clc;clear;
n=40;                               %群体数量,(可修改)
z=unifrnd(0,100,2,n);               %各群中心点,(可修改)
x=z(1,:);                           %各群中心点
y=z(2,:);                           %各群中心点
Num=floor(unifrnd(200,300,1,n));    %各群散点的个数,(可修改)
rx=zeros(n,max(Num));
ry=zeros(n,max(Num));
s=zeros(n,max(Num));                %个体指标量
for i=1:n                           %生成各群的随机点
    rx(i,:)=[normrnd(0,4,1,Num(i)),zeros(1,max(Num)-Num(i))]+x(i);  %该群散点位置
    ry(i,:)=[normrnd(0,4,1,Num(i)),zeros(1,max(Num)-Num(i))]+y(i);  %该群散点位置
    s(i,:)=[normrnd(0,1,1,Num(i)),zeros(1,max(Num)-Num(i))];        %给散点赋值,指标服从N(0,1),(可修改)
end
for i=1:n                           %散点展示
    plot(rx(i,:),ry(i,:),'.');
    hold on;
end
hold off;
hold on;
for i=1:n                           %群范围标注
   plot(x(i),y(i),'bo','MarkerSize',60);
end
hold off;
%% 保存原始数据
data=cell(n+1,max(Num)+2);          %利用cell整合
title={'第一级抽样单元','第一级规模','指标'};
list=[1:n]';
data(1,1:3)=title;
data(2:end,1)=num2cell(list);
data(2:end,2)=num2cell(Num');
for i=1:n                           %写入指标数据
    data(i+1,3:Num(i)+2)=num2cell(s(i,1:Num(i)));
end
xlswrite('原始数据.xlsx',data);     %生成文件
clear data i list rx ry title x y z;
save('data.mat');
clear;

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