Hello,
I'm going to explore my dataset, composed by 100 subjects and 14 binary (1,0) variables.
I was wondering if my protocol makes sense:
1) I obtained a distance matrix from the dataset, by using Hamming distance
2) I performed a principal coordinate analysis on the obtained distance matrix
3) to test for significant differences between groups of subjects, I performed a discriminant analysis, using all the principal coordinates from point 2)
Is that strategy correct? Could I use, instead of principal coordinate analysis, a principal component analysis?
Thanks in advance for any feedback
marco
I'm going to explore my dataset, composed by 100 subjects and 14 binary (1,0) variables.
I was wondering if my protocol makes sense:
1) I obtained a distance matrix from the dataset, by using Hamming distance
2) I performed a principal coordinate analysis on the obtained distance matrix
3) to test for significant differences between groups of subjects, I performed a discriminant analysis, using all the principal coordinates from point 2)
Is that strategy correct? Could I use, instead of principal coordinate analysis, a principal component analysis?
Thanks in advance for any feedback
marco