基于MATLAB的数据处理与统计作图概要.docx

Smooth函数：;c=smooth(count(:));
Cl=reshape(c,24,3);subplot(3,l,l);plot(count,':');holdon;
plot(C1,'-');
C2x1=normrnd(5,1,N,1);
>>x2=normrnd(6,1,N,1);x=[x1x2];subplot(2,2,1);sym1='*';notch1=1;boxplot(x,notch1,sym1);
>>subplot(2,2,2);notch2=0;boxplot(x,notch2);
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x=randn(100,25);subplot(2,l,l);boxplot(x);
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误差条图：
>>x=0:pi/10:pi;y=sin(x);
e=std(y)*ones(size(x));errorbar(x,y,e)
最小二乘法拟合直线：
>>x=1:10;
>>y1=x+rand(1,10);
>>scatter(x,y1,25,'b','*')
>>holdon;
>>y2=2*x+randn(1,10);
>>plot(x,y2,'mo')
>>y3=3*x+randn(1,10);
>>plot(x,y3,'rx:');
>>y4=4*x+randn(1,10);
>>plot(x,y4,'g+--');
帕累托图：
>>codelines=[200120555608102410157687];
>>coders={'Fred','Ginger',Norman','Max','Julia','Wally','Heidi','Pat'};
>>pareto(codelines,coders)
QQ图：
>>M=100;N=1;
>>x=normrnd(0,1,M,N);
>>y=rand(M,N);
>>z=[x,y];
>>subplot(2,2,l);hl=qqplot(z);
>>gridon;
>>x=normmd(0,1,100,1);
>>y=normrnd(,2,50,1);
>>subplot(2,2,2);
>>h2=qqplot(x,y);
>>gridon;
>>x=normrnd(5,1,100,1);
>>y=weibrnd(2,,100,1);
>>subplot(2,2,3);
>>h3=qqplot(x,y);
>>gridon;
>>subplot(2,2,4);
>>x=normrnd(10,1,100,1);
>>subplot(2,2,4);
>>qqplot(x);
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回归残差图：
>>X=[ones(10,1)(1:10)'];
>>y=X*[10;1]+normrnd(0,,10,1);
>>[b,bint,r,rint]=regress(y,X,);
>>rcoplot(r,rint);
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