Fig. 3From: Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensorsParticipant-level eigenfunctions (top) and mean function \(\mu (t)\) (red) with addition (blue) or subtraction (green) of square root of two eigenvalues multiplying corresponding eigenfunctions (bottom)Back to article page