How to calculate mean and standard deviation for loops?

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story_Acc_FN_UL0_S1_5 = randn(1,10);
story_Acc_FN_UL0_S2_5 = randn(1,10);
story_Acc_FN_UL0_S3_5 = randn(1,10);
story_Acc_FN_UL0_S4_5 = randn(1,10);
story_Acc_FN_UL0_S5_5 = randn(1,10);
for uu = 1:10
story_Acc_FN_UL0_R_rup_5(1,uu) = mean(story_Acc_FN_UL0_S1_5(1,uu),story_Acc_FN_UL0_S2_5(1,uu),story_Acc_FN_UL0_S3_5(1,uu),story_Acc_FN_UL0_S4_5(1,uu),story_Acc_FN_UL0_S5_5(1,uu));
std_dvt(1,uu) = std(story_Acc_FN_UL0_S1_5(1,uu),story_Acc_FN_UL0_S2_5(1,uu),story_Acc_FN_UL0_S3_5(1,uu),story_Acc_FN_UL0_S4_5(1,uu),story_Acc_FN_UL0_S5_5(1,uu));
end

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ANKUR KUMAR
ANKUR KUMAR 2021년 7월 11일
You don't need to use loop for that. You can use cat command to concatenate, and then use mean and std functions to the matrix itself.
story_Acc_FN_UL0_S1_5 = randn(1,10);
story_Acc_FN_UL0_S2_5 = randn(1,10);
story_Acc_FN_UL0_S3_5 = randn(1,10);
story_Acc_FN_UL0_S4_5 = randn(1,10);
story_Acc_FN_UL0_S5_5 = randn(1,10);
matrix=cat(1,story_Acc_FN_UL0_S1_5,story_Acc_FN_UL0_S2_5, story_Acc_FN_UL0_S3_5, story_Acc_FN_UL0_S4_5, story_Acc_FN_UL0_S5_5)
matrix = 5×10
0.5803 0.2545 1.3201 1.1169 1.1713 0.6641 0.6268 0.1792 0.5207 -0.8742 0.2123 -1.1177 -0.7340 -0.4116 1.6859 0.4254 -0.0838 -1.3029 0.2514 -0.0004 -0.1874 -1.3762 0.4546 -1.2224 0.4418 1.2452 0.7849 2.4942 -0.3359 -0.7775 -0.5222 2.1919 -0.1692 0.7816 0.0996 0.9557 -0.5402 0.5236 0.8086 -0.5950 1.0547 0.4665 -0.0449 0.7405 -0.2555 -1.1399 0.4181 -0.7332 -2.2922 1.3358
meanvalue=mean(matrix)
meanvalue = 1×10
0.2276 0.0838 0.1653 0.2010 0.6287 0.4301 0.2412 0.2322 -0.2095 -0.1823
stdev=std(matrix)
stdev = 1×10
0.6211 1.4313 0.7717 0.9834 0.7920 0.9301 0.5458 1.4571 1.2385 0.9139

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