Hi -
I've fit several individual RSFs to marten data and am trying to get the population model from them. I initially tried to fit the population model to all 8 individual models and then scaled it back to just 2 when I got this error, but am still getting the error.
Thank you!
- Smith
The code:
model_f20 <- readRDS(“res_10_simple.rds”))$rsf_model
model_f17 <- readRDS(“res_10_simple.rds”))$rsf_model
pop_model <- mean(list(model_f20, model_f17))
The error:
Error in JP %*% COV.POV : non-conformable arguments
In addition: Warning messages:
1: In sqrt(D) : NaNs produced
2: In sqrt(D) : NaNs produced
3: In sqrt(D) : NaNs produced
4: In sqrt(D) : NaNs produced
5: In sqrt(D) : NaNs produced
6: In sqrt(D) : NaNs produced
7: In sqrt(D) : NaNs produced
8: In sqrt(D) : NaNs produced
9: In sqrt(D) : NaNs produced
10: In sqrt(D) : NaNs produced
The Models:
Very few of the coefficients are actually significant, and some have pretty large confidence intervals, not sure if that will matter for the population model?
F17
$name
[1] "IID"
$DOF
mean area diffusion speed
673.7277 374.4467 0.0000 0.0000
$CI
low est high
complex_enn (1/complex_enn) -1.365648e+02 0.0003725516 1.365655e+02
simple_enn (1/simple_enn) -4.437197e-01 0.0070372430 4.577942e-01
enn (1/enn) -4.526354e-01 0.0008556557 4.543467e-01
complex_shape (1/complex_shape) -1.592701e+05 0.0972754978 1.592703e+05
simple_shape (1/simple_shape) -2.246741e+02 -0.0795130429 2.245151e+02
shape (1/shape) -2.249063e+02 -0.0615257740 2.247832e+02
complex_area (1/complex_area) -7.930371e+02 0.0020458375 7.930412e+02
simple_area (1/simple_area) -3.492268e+01 0.0005538785 3.492379e+01
area (1/area) -3.487383e+01 0.0095062143 3.489284e+01
complex (1/complex) -2.683093e+05 0.4540779492 2.683102e+05
simple (1/simple) -3.207481e+02 1.5682409938 3.238846e+02
area (square kilometers) 3.068567e+00 3.4047301800 3.758114e+00
F20
$name
[1] "IID"
$DOF
mean area diffusion speed
823.4906 829.7307 0.0000 0.0000
$CI
low est high
complex_enn (1/complex_enn) -0.0677026291 -3.947327e-02 -0.011243903
simple_enn (1/simple_enn) -0.0005246391 9.576340e-03 0.019677319
enn (1/enn) -0.0099067352 -2.719650e-03 0.004467435
complex_shape (1/complex_shape) -0.5683118266 2.339449e-02 0.615100800
simple_shape (1/simple_shape) -0.7056372588 -3.567515e-02 0.634286967
shape (1/shape) -0.5518197224 1.804114e-03 0.555427950
complex_area (1/complex_area) -0.0272825244 -3.351030e-04 0.026612318
simple_area (1/simple_area) -0.0263400744 6.884223e-04 0.027716919
area (1/area) -0.0269837817 -2.828494e-05 0.026927212
complex (1/complex) 0.5831911601 2.736397e+00 4.889602679
simple (1/simple) -1.7853533044 1.014678e-01 1.988288900
area (square kilometers) 9.9825963762 1.069824e+01 11.438310242