Asked by Elise
on 19 Sep 2013

I have a set of measurements of wrist movements. It contains data about the movements in x,y,z translations and x,y,z rotations - so it has 6 dimensions.

I used:

[coeff,score,~,~,explained,~] = pca(E);

Explained gives me the following result:

[56,0982092469235; 26,0254466244066; 11,3132049655197; 5,01572264188474; 0,929970860888532; 0,617445660376905]

From this I see that 80% of the data is in the first two principle components.

I assume that these 2 principle components form a plane. How do I use coeff to see how this plane is orientated?

Thanks in advance for helping me out!

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## 2 Comments

## the cyclist (view profile)

Direct link to this comment:https://www.mathworks.com/matlabcentral/answers/87678#comment_169889

When you say "see how this plane is orientated", do you literally mean a visualization? It's a challenge to show a (2-D) plane embedded in a 6-D space.

## Elise (view profile)

Direct link to this comment:https://www.mathworks.com/matlabcentral/answers/87678#comment_170031

Good question, visualizing would be preferable, but I can see that that would be difficult.

I quess what I want to know is how much of each original component can be found in the first two principal components. For this case: how much translation v.s. rotation can be found in the first to principle components.

I know this should be found in coeff/score, I just can not figure out how to interpret these.