不同的标记在MATLAB情节

Question

我正在使用此生成的代码来绘制两个向量之间的心理测量函数：

smqi=[0 0.504500000000000 0.540500000000000 0.574800000000000 0.459400000000000 0.500800000000000 0.533900000000000 0.401700000000000 0.462100000000000 0.511300000000000 0.291300000000000 0.347300000000000 0.419900000000000 0.491700000000000 0.552400000000000 0.598600000000000 0.392600000000000 0.426000000000000 0.451400000000000 0.334900000000000 0.359500000000000 0.371300000000000 0 0.640800000000000 0.760600000000000 0.847100000000000 0.336200000000000 0.409200000000000 0.463000000000000 0.357600000000000 0.437700000000000 0.504400000000000 0.421200000000000 0.500200000000000 0.579800000000000 0.452700000000000 0.557200000000000 0.592200000000000 0.314800000000000 0.313800000000000 0.344800000000000 0.315500000000000 0.348300000000000 0.355400000000000 0 0.558100000000000 0.636700000000000 0.702900000000000 0.361500000000000 0.427100000000000 0.469100000000000 0.389700000000000 0.457700000000000 0.489800000000000 0.446800000000000 0.528700000000000 0.589200000000000 0.441500000000000 0.475300000000000 0.499600000000000 0.325500000000000 0.360700000000000 0.364200000000000 0.338400000000000 0.368200000000000 0.396200000000000 0 0.702500000000000 0.813100000000000 0.995500000000000 0.370600000000000 0.476800000000000 0.594300000000000 0.355200000000000 0.452000000000000 0.528500000000000 0.484000000000000 0.567400000000000 0.671500000000000 0.454000000000000 0.460700000000000 0.469600000000000 0.299900000000000 0.318300000000000 0.361900000000000 0.264800000000000 0.263000000000000 0.279500000000000]; 
MOS=[0.240085000000000 0.558541000000000 0.861963000000000 0.935125000000000 0.276903000000000 0.634308000000000 0.838878000000000 0.268853000000000 0.274772000000000 0.724518000000000 0.285545000000000 0.238901000000000 0.477684000000000 0.338700000000000 0.655736000000000 0.656328000000000 0.138511000000000 0.388422000000000 0.582929000000000 0.368178000000000 0.364626000000000 0.341423000000000 0.237362000000000 0.728069000000000 0.894282000000000 1 0.348526000000000 0.689712000000000 0.712087000000000 0.473541000000000 0.558778000000000 0.600331000000000 0.480052000000000 0.638688000000000 0.924944000000000 0.349947000000000 0.765834000000000 0.826684000000000 0.279507000000000 0.315852000000000 0.529892000000000 0.193678000000000 0.282112000000000 0.375873000000000 0.266012000000000 0.536285000000000 0.739079000000000 0.924825000000000 0.362969000000000 0.516160000000000 0.724162000000000 0.417663000000000 0.649461000000000 0.682846000000000 0.540784000000000 0.823606000000000 0.900438000000000 0.277850000000000 0.318693000000000 0.433763000000000 0.221617000000000 0.281165000000000 0.381674000000000 0.141352000000000 0.335740000000000 0.391263000000000 0 0.659879000000000 0.834853000000000 0.953475000000000 0.502664000000000 0.609921000000000 0.818042000000000 0.402155000000000 0.543270000000000 0.755890000000000 0.470700000000000 0.621996000000000 0.748905000000000 0.375873000000000 0.501243000000000 0.682254000000000 0.126080000000000 0.294779000000000 0.353972000000000 0.223748000000000 0.369599000000000 0.261276000000000]; 
function [fitresult, gof] = createFit(smqi, mos) 
%CREATEFIT(SMQI,MOS) 
% Create a fit. 
% 
% Data for 'untitled fit 1' fit: 
%  X Input : smqi 1x88 
%  Y Output: mos 1x88 
% Output: 
%  fitresult : a fit object representing the fit. 

[xData, yData] = prepareCurveData(smqi, mos); 

% Set up fittype and options. 
ft = fittype('erfc((a+b*x)/sqrt(2))/2', 'independent', 'x', 'dependent', 'y'); 
opts = fitoptions('Method', 'NonlinearLeastSquares'); 
opts.Algorithm = 'Levenberg-Marquardt'; 
opts.Display = 'Off'; 
opts.StartPoint = [0.83763959965349 0.463660782983039]; 

% Fit model to data. 
[fitresult, gof] = fit(xData, yData, ft, opts); 


% Plot fit with data. 
figure('Name', 'untitled fit 1'); 
h = plot(fitresult, xData, yData); 
legend(h, 'mos vs. smqi', 'untitled fit 1', 'Location', 'NorthEast'); 
% Label axes 
xlabel smqi 
ylabel mos 
grid on 

我要为每个组的矢量SMQI和MOS而22个值的指定不同的标记物保留同一行（​​）。 我关注了分散函数，但我没有成功解决这个问题。

帮助？

Answer 1

最简单的做法是将您的xData和yData变量重塑为[X x 4]，然后将这些变量传递给绘图以为每个组创建单独的绘图对象。然后您可以根据需要设置标记。

xData = reshape(xData, [], 4); 
yData = reshape(yData, [], 4); 

p = plot(xData, yData, '.'); 
set(p, {'Marker'}, {'.'; 'o'; 'x'; '*'}) 

hold on 
plot(fitresult);