varimp

### Region continuous
R> set.seed(1)
R> bll = read.csv("bll_SB.csv", header=TRUE)
R> bll_SB <- na.omit(data.frame(bll))
R> bll_SB$SB_Pres <- factor(bll_SB$SB_Pres)
R> SBcf <- cforest(SB_Pres ~ ., data=bll_SB,  control=cforest_unbiased())
R> varimp(SBcf, conditional = FALSE)
        Slope      Dist2Shr         Bathy          Chla           SST
     0.003296      0.012235      0.014388      0.089745      0.028143
DaylightHours     MoonPhase        Region
     0.008847      0.003367      0.095878

### Region categorical
R> set.seed(1)
R> bll_SB$Region <- factor(bll_SB$Region)
R> SBcf <- cforest(SB_Pres ~ ., data=bll_SB,  control=cforest_unbiased())
R> varimp(SBcf, conditional = FALSE)
        Slope      Dist2Shr         Bathy          Chla           SST
     0.003633      0.015908      0.008286      0.085367      0.028847
DaylightHours     MoonPhase        Region
     0.009520      0.002969      0.093061