How to calculate mean and standard deviation for loops?

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 

Answer 1

[ANKUR KUMAR]

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

[Sumit Saha]

thanks @ANKUR KUMAR