Detrended decycled PCA

[MKLau]

[MKLau]

[MKLau]

envfit(ord=sdd.ord$scores[,1:2],env=fps)

VECTORS

Comp.1 Comp.2 r2 Pr(>r)
Run 0.67858 0.73453 0.2515 0.001 Prey -0.40812 0.91293 0.4398 0.001 b -0.36889 -0.92947 0.2832 0.001 a -0.36889 -0.92947 0.2832 0.001 K 0.82140 -0.57036 0.0145 0.264
d 0.31129 -0.95031 0.0002 0.989

P values based on 999 permutations.

envfit(ord=sdd.ord$scores[,2:3],env=fps)

VECTORS

Comp.2 Comp.3 r2 Pr(>r)
Run 0.243286 -0.969955 0.0756 0.002
Prey 0.375576 -0.926792 0.2766 0.001 b -0.507239 0.861805 0.1863 0.001 a -0.507239 0.861805 0.1863 0.001 K -0.021014 0.999779 0.0647 0.003
d -0.010425 0.999946 0.0187 0.193

P values based on 999 permutations.

envfit(ord=sdd.ord$scores[,1:3],env=fps)

VECTORS

Comp.1 Comp.2 r2 Pr(>r)
Run 0.67858 0.73453 0.2515 0.001 Prey -0.40812 0.91293 0.4398 0.001 b -0.36889 -0.92947 0.2832 0.001 a -0.36889 -0.92947 0.2832 0.001 K 0.82140 -0.57036 0.0145 0.285
d 0.31129 -0.95031 0.0002 0.985

P values based on 999 permutations.

[MKLau]

[MKLau]

[MKLau]

[MKLau]

functional data analysis Computational Statistics & Data Analysis