I have dataset that contains the acceleration data of three axes (x, y, and z) , this an example of my data
X Y Z %1.0195313 0.16088867 -0.26391602
%1.0976563 0.17456055 -0.33447266
%1.2556152 0.24926758 -0.3774414
%1.2314453 0.517334 -0.25732422
%1.0212402 0.5761719 -0.09277344
%1.0727539 0.51000977 0.007324219
%1.1694336 0.32885742 -0.017822266
%1.1247559 0.22924805 -0.10595703
%1.0339355 0.27905273 -0.13623047
%0.8273926 0.24560547 -0.080566406
%0.75097656 0.25390625 -0.018310547
%0.67626953 0.3046875 0.051757813
%0.7282715 0.33764648 0.08911133
%0.8227539 0.34545898 0.08325195
%0.87939453 0.3413086 0.08300781
%1.0527344 0.34326172 0.106933594
%1.1125488 0.32128906 0.10058594
%1.1477051 0.26416016 0.06347656
%1.2807617 0.2680664 0.015136719
%1.2800293 0.2668457 -0.006347656
I have calculated the Correlation coefficients of two axes (x and y) using the corrcoef function as illustrated bellow
R = corrcoef(X_Segments{1},Y_Segments{1})
X_Segments contains data of the first column (X Data) and Y_Segments contains data of the second column (Y Data). However, the output was strange
R = 1.0000 0.3424 0.3424 1.0000
I want to know which value represents the Correlation coefficients between X and Y and is there any solution to get the Correlation coefficients between two axes directly as one value (single output) not as a matrix ?
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