Computes pairwise correlation between synergy weight vectors from two decompositions. Uses best-match pairing.
Arguments
- result1
First result from
muscleSynergy.- result2
Second result from
muscleSynergy.
References
De Luca, C.J. (1997). "The use of surface electromyography in biomechanics." Journal of Applied Biomechanics, 13(2), 135-163. doi:10.1123/jab.13.2.135
Merletti, R. & Parker, P.A. (2004). "Electromyography: Physiology, Engineering, and Non-Invasive Applications." Wiley-IEEE Press. doi:10.1002/0471678384
See also
muscleSynergy() for computing synergy decompositions,
synergyReconstruct() for reconstructing data from synergies
Examples
pe <- make_emg(n_time = 2000, n_channels = 4, sr = 1000)
s1 <- muscleSynergy(pe, n_synergies = 2, method = "nmf", seed = 1)
s2 <- muscleSynergy(pe, n_synergies = 2, method = "nmf", seed = 2)
synergyCompare(s1, s2)
#> synergy1 synergy2 correlation
#> 1 1 1 0.9999479
#> 2 2 2 0.9999337