Hi,
I have 2 age classes and I am interested in determining the effect of two covariates,( 1 environmental (temporal) and the other individual) on the survival of the older age class only.
Model selection based on AIC suggest that the below is the ‘best model’:
a(7:15).[i+xind(3)+t(1_33)*x(1)+xind(3).t(1_33)*x(1)]+a(1:6)
To understand the interaction I have plotted the predicted values for survival for a range of values for the environmental covariate and fixing the individual covariate at the lower, median and upper quartile values. Which I have done using the Beta estimates from my model in R.
However now I want to calculate the CI surrounding these predicted values but am unsure how to calculate them when there are both environmental and individual covariates and an interaction between them as the only examples I can find for estimating CI for individual covariates alone and do not include any temporal covariates.
Any help as to how to do this would be greatly appreciated.
Many thanks in advance
Sarah