Dear R users I'm trying to reproduce the results from Lowry et al. 2007 Lunar landings - Relationship between lunar phase and catch rates for an Australian gamefish-tournament fisheryFisheries Research 88: 15–23
Basically we have two columns: Lunar days and CPUE (catch per unit effort). The aim is to test whether CPUE varies with the lunar cycle Here is what I did: library(circular) # Black marlin CPUE U<-c(0.02,0.024,0.017,0.02,0.018,0.034,0.042,0.026,0.017,0.019,0.006,0.008,0.011,0.014,0.007,0.018,0.008,0.004,0.008,0.013,0.011,0.008,0.006,0.004,0.008,0.005,0.016,0.011,0.022,0.048) # Lunar day LD <- seq(1:30) # Lunar Day in radians LDrad <- (360*LD)/29.58 # Plots plot(U~LD) plot(U~LDrad) # Transform LDcir <- circular(U,LDrad,type=c("angles"),units=c("radians")) # circular model circ.lm<-lm.circular(y=U,x=LDcir,init=1,type="c-l",verbose=TRUE) but it runs with circ.lm<-lm.circular(x=U,y=LDcir,init=1,type="c-l",verbose=TRUE) Nevertheless U must be the dependent variable, not the independent one. I also tried Uy <- cbind(U,rep(1,length(U))) circ.lm<-lm.circular(y=Uy,x=LDcir,init=2,type="c-l",verbose=TRUE) Well I really appreciate any help, thanks in advance, Antonio Olinto [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.