循环的数据集MATLAB

Question

Im做的乘法数据集的一些统计分析，但它似乎很愚蠢硬编码的一切，所以我想知道如果有可能使一个循环的数据集，代码我已经是这样的：

dsA = dataset('XLSFile','RING 29 deg.xlsx','Sheet',7); 
dsB = dataset('XLSFile','RING 29 deg.xlsx','Sheet',8); 
dsC = dataset('XLSFile','RING 29 deg.xlsx','Sheet',9); 
dsD = dataset('XLSFile','RING 29 deg.xlsx','Sheet',10); 
dsE = dataset('XLSFile','RING 29 deg.xlsx','Sheet',11); 
dsX = dataset('XLSFile','RING 29 deg.xlsx','Sheet',12); 
dsY = dataset('XLSFile','RING 29 deg.xlsx','Sheet',13); 

%Testing differences in median after 0,5 sex for A 
[p,t,stats_A_1] = kruskalwallis(dsA.x0_5Sec,dsA.Code_1); 
title('Differences in median after 0,5 sec for Concentration A') 
print(gcf, '-dpdf', 'A_0,5_sec.pdf'); 
figure; 
[c,m,h,nms] = multcompare(stats_A_1); 
title('Differences in median after 0,5 sec for Concentration A') 
[nms num2cell(m)] 


%Testing differences in median after 1 sex for A 
[p,t,stats_A_2] = kruskalwallis(dsA.x1Sec,dsA.Code_1); 
title('Differences in median after 1 sec for Concentration A') 
print(gcf, '-dpdf', '73_1_sec.pdf'); 
figure; 
[c,m,h,nms] = multcompare(stats_A_2); 
title('Differences in median after 1 sec for Concentration A') 
[nms num2cell(m)] 


%Testing differences in median after 1,5 sex for A 
[p,t,stats_A_3] = kruskalwallis(dsA.x1_5Sec,dsA.Code_1); 
title('Differences in median after 1,5 sec for Concentration A') 
print(gcf, '-dpdf', '73_1,5_sec.pdf'); 
figure; 
[c,m,h,nms] = multcompare(stats_A_3); 
title('Differences in median after 1,5 sec for Concentration A') 
[nms num2cell(m)] 


%Testing differences in median after 2 sex for A 
[p,t,stats_A_4] = kruskalwallis(dsA.x2Sec,dsA.Code_1); 
title('Differences in median after 2 sec for Concentration A') 
print(gcf, '-dpdf', 'A_2_sec.pdf'); 
figure; 
[c,m,h,nms] = multcompare(stats_A_4); 
title('Differences in median after 2 sec for Concentration A') 
[nms num2cell(m)] 


%Testing differences in median after 2,5 sex for A 
[p,t,stats_A_5] = kruskalwallis(dsA.x2_5Sec,dsA.Code_1); 
title('Differences in median after 2,5 sec for Concentration A') 
print(gcf, '-dpdf', 'A_2,5_sec.pdf'); 
figure; 
[c,m,h,nms] = multcompare(stats_A_5); 
title('Differences in median after 2,5 sec for Concentration A') 
[nms num2cell(m)] 


%Testing differences in median after 3 sex for A 
[p,t,stats_A_6] = kruskalwallis(dA.x3Sec,dA.Code_1); 
title('Differences in median after 3 sec for Concentration A') 
print(gcf, '-dpdf', 'A_3_sec.pdf'); 
figure; 
[c,m,h,nms] = multcompare(stats_A_6); 
title('Differences in median after 3 sec for Concentration A') 

我需要做到这一点，数据集A到Y，硬编码，只是似乎愚蠢...但我已经尝试做一个循环，就像我在做图像处理但我不能让它工作，当我尝试与数据集，有没有人有如何做到这一点的想法？ 祝您有美好的一天

Answer 1

由于您使用的变量名称如stats_A_3或dsA的索引编码为其变量名，因此难以编写循环。要开发循环版本，您必须重构代码并删除这些硬编码索引。从下面的两个“迭代”开始，修改代码以使迭代之间的所有内容都取决于变量index。当你修改代码时，你完成了两个块都相同但仍然与之前一样的方式。

%first iteration 
index=1 
t=index/2 
dsA = dataset('XLSFile','RING 29 deg.xlsx','Sheet',7); 
%Testing differences in median after 0,5 sex for A 
[p,t,stats_A_1] = kruskalwallis(dsA.x0_5Sec,dsA.Code_1); 
title('Differences in median after 0,5 sec for Concentration A') 
print(gcf, '-dpdf', 'A_0,5_sec.pdf'); 
figure; 
[c,m,h,nms] = multcompare(stats_A_1); 
title('Differences in median after 0,5 sec for Concentration A') 
[nms num2cell(m)] 
%second iteration 
index=2 
t=index/2 
dsB = dataset('XLSFile','RING 29 deg.xlsx','Sheet',8); 
%Testing differences in median after 1 sex for A 
[p,t,stats_A_2] = kruskalwallis(dsA.x1Sec,dsA.Code_1); 
title('Differences in median after 1 sec for Concentration A') 
print(gcf, '-dpdf', '73_1_sec.pdf'); 
figure; 
[c,m,h,nms] = multcompare(stats_A_2); 
title('Differences in median after 1 sec for Concentration A') 
[nms num2cell(m)] 

你将需要实现它（查看文档，如果你不认识他们）一些工具：

• 单元阵列，它取代了stats_A_1到stats_A_6矩阵
• sprintf产生您的文件名
• dynamic field names