multiple scatter plot
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I have 4 arrays, A,B,C,D which their size is 80 rows, 4 columns. I want to make a scatter plot between the same column of each two arrays e.g. X=A(:,1),Y=B(:,1) or X=C(:,4), Y=D(:,4). I have a cell array s={s1;s2,...;s16} which s1 is lable for A(:,1), if X=A(:,1) then the lable for x axis is s1 and if Y=A(:,1)then the lable for y axis is s1. I also want to add the regression equation and r-squared value. I used the following code but it's not working. ANy help is appericiated.
s={s1;s2;s3;s4;s5;s6;s7;s8;s9;s10;s11;s12;s13;s14;s15;s16}
% to draw a 1:1 line
fignum = 1;
for i=1:4
while ishandle(fignum)
fignum = fignum + 1;
end
figure(fignum);
X=A(:,i)
Y=C(:,i)
R=corrcoef(X,Y);
R_squared=R(2)^2;
R_squared=R_squared*100
R_squared=round(R_squared)
scatter(X,Y);
%Add least-squares line to scatter plot
h=lsline;
set(h,'color','r');
%Use polyfit to compute a linear regression that predicts y from x
p = polyfit(X,Y,1)
p =spa_sf(p,2)
max_x=max(X);
max_y=max(Y);
min_x=min(X)
min_y=min(Y)
mean_x=mean(X)
mean_y=mean(Y)
if (max_x > max_y)
max_value=max_x;
else
max_value=max_y;
end;
if X==A(:,i)
label_x=s(i);
else if X==B(:,i)
label_x=s(i+4);
else if X==C(:,i)
label_x=s(i+8);
else if X==D(:,i)
label_x=s(i+12);
end
if Y==A(:,i)
label_y=s(i);
else if Y==B(:,i)
label_y=s(i+4);
else if Y==C(:,i)
label_y=s(i+8);
else if Y==D(:,i)
label_y=s(i+12);
end
xlabel(label_x); ylabel(label_y);
xlim([0 max_value+max_value/20]);
ylim([0 max_value+max_value/20]);
line([0,max_value+max_value/20],[0,max_value+max_value/20],... 'linewidth',1,... 'color',[0,0,0]);
text(mean_x-mean_x/1.1, max_y-(max_y/4), ['R^2 (%) = ' num2str(R_squared)])
text(mean_x-mean_x/1.1, max_y-(max_y/4)-(max_y/10), ['Y = ' num2str(p(1))])
text(mean_x-mean_x/1.1+max_x/8, max_y-(max_y/4)-(max_y/10), [' X + ' num2str(p(2))])
end
2 个评论
Oleg Komarov
2011-4-23
It's not warking says nothing. Post the error message or the unwanted result.
Also, format properly the whole code.
Hassan
2011-4-23
回答（1 个）
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