I'm trying to perform an repeated measurements ANOVA from my field data (field_data) with the following code:
#First convert variables into factors: field_data$month = factor(field_data$month, levels=unique(field_data$month)) field_data$distance = factor(field_data$distance) field_data$CO2.f = factor(field_data$CO2, ordered = TRUE) # Model model_CO2 = clmm(CO2.f ~ month + distance + month:distance + (1|nest), data = field_data, threshold = "equidistant") # Anova of the model Anova(model_CO2, type = "II")
I've run the same code for a couple of weeks without any problems, but today when I tried to run it again I got some errors: everything seems to work fine until I make the model, but when I run the Anova I get the following message:
Error in eval(predvars, data, env) : object 'CO2.f' not found
and also tried to change the excel where I have my data, but nothing seems to work out.
I've tried to run this in another computer and it seems to work fine. Does anyone have an idea why this is happening?
When I run the model_CO2, I get results:
Cumulative Link Mixed Model fitted with the Laplace approximation formula: CO2.f ~ month + distance + month:distance + (1 | nest) data: field_data link threshold nobs logLik AIC niter max.grad logit equidistant 123 -551.68 1137.36 1213(4936) 5.30e-04 Random effects: Groups Name Variance Std.Dev. nest (Intercept) 3.521 1.876 Number of groups: nest 5 Coefficients: monthjuly monthseptember distance0.25 m -1.1232 1.6078 0.4056 distance0.5 m distance0.75 m distance1 m 2.5090 0.6062 2.5836 monthjuly:distance0.25 m monthseptember:distance0.25 m monthjuly:distance0.5 m 0.2939 -0.3551 -1.2597 monthseptember:distance0.5 m monthjuly:distance0.75 m monthseptember:distance0.75 m -1.7791 0.3966 0.4520 monthjuly:distance1 m monthseptember:distance1 m -1.4307 -0.7867 Thresholds: threshold.1 spacing -3.61618 0.08347
This is why I think it has something to do with the ANOVA and not with the factor. However, I've tried other kinds of ANOVA (to see if the problem was one library) and I keep getting the same error.