Hi all,
I am trying to get the seasonal estimates of the breeding population (% of the breeding population in a concrete period) from diverse Species in the different seasons of the year. To note that I have obtained this data from diferent longitudinal studies, having unbalanced data. So I am using:
Population to control the pseudoreplication
ID_study to control the different samplings,
Species (Genus*Family) to take into account the taxonomy
However, I would like to take into account the density using it as offset. The problem is that when I include this term in orocethe SAS code I get the following answer: "WARNING: Obtaining minimum variance quadratic unbiased estimates as starting values for the covariance parameters failed".
proc glimmix data=breeding method=laplace plots=(ResidualPanel(conditional marginal));
class Season Species Genus Family Population ID_study Month ;
model Breed_population = Season Month (Season)
/dist=beta offset=Density
ddfm=none covb s;
random intercept / subject = Population (ID_study);
random intercept / subject= Species (Genus*Family);
nloptions maxiter=150;
lsmeans Season/cl diff PLOT=diff (NOabs center) adjust=tukey;
lsmeans Season/cl ilink;
run;
Anyone know how I can overcome this problem?
Thanks,
Rubén
The warning was due to the amount of decimals of the offset. When I reduce it to 2-3 decimals I could to carry out the model.
I hope it may help someone
Sorry for the inconvences!!!
The warning was due to the amount of decimals of the offset. When I reduce it to 2-3 decimals I could to carry out the model.
I hope it may help someone
Sorry for the inconvences!!!
Don't miss out on SAS Innovate - Register now for the FREE Livestream!
Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.
ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
Find more tutorials on the SAS Users YouTube channel.