## id trial state loc cult pairs ctrl_dismean dis_pres2 dis_pres3
## 1 2012_1 1 MT Campo_Verde TMG_803 36 42.5 High High
## 2 2012_2 2 MT Pedra_Preta TMG_803 36 36.3 High Medium
## 3 2012_3 3 MT Primavera_do_Leste TMG_803 36 41.3 High High
## 4 2012_4 4 MS Chapadao_do_Sul 5G830 36 30.6 High Medium
## 5 2012_6 5 MS Sao_Gabriel_do_Oeste BMX_Potencia_RR 36 27.0 Low Medium
## 6 2012_7 6 MT Deciolandia TMG_803 45 44.8 High High
## Ry_pres2 Ry_pres3 Ry_max cor z Vz
## 1 1Low 1Low 1.18 -0.1805764 -0.1825785 0.03030303
## 2 1Low 2Medium 1.22 -0.5247035 -0.5828082 0.03030303
## 3 2High 2Medium 1.32 -0.3490060 -0.3643115 0.03030303
## 4 1Low 1Low 1.11 -0.1865706 -0.1887817 0.03030303
## 5 1Low 1Low 1.16 -0.1866246 -0.1888376 0.03030303
## 6 1Low 1Low 1.11 -0.4933235 -0.5404434 0.02380952
Fitted models
Random effects
##
## Random-Effects Model (k = 26; tau^2 estimator: ML)
##
## logLik deviance AIC BIC AICc
## -3.7911 52.3380 11.5822 14.0984 12.1040
##
## tau^2 (estimated amount of total heterogeneity): 0.0504 (SE = 0.0219)
## tau (square root of estimated tau^2 value): 0.2245
## I^2 (total heterogeneity / total variability): 64.03%
## H^2 (total variability / sampling variability): 2.78
##
## Test for Heterogeneity:
## Q(df = 25) = 72.7184, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.5681 0.0551 -10.3122 <.0001 -0.6760 -0.4601
Fixed effects
##
## Fixed-Effects Model (k = 26)
##
## Test for Heterogeneity:
## Q(df = 25) = 72.7184, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.5709 0.0330 -17.3081 <.0001 -0.6356 -0.5063
Including a moderator variable (qualitative) (Ry_max)
##
## Mixed-Effects Model (k = 26; tau^2 estimator: ML)
##
## logLik deviance AIC BIC AICc
## -0.2090 45.1739 6.4181 10.1924 7.5090
##
## tau^2 (estimated amount of residual heterogeneity): 0.0313 (SE = 0.0166)
## tau (square root of estimated tau^2 value): 0.1769
## I^2 (residual heterogeneity / unaccounted variability): 52.49%
## H^2 (unaccounted variability / sampling variability): 2.10
##
## Test for Residual Heterogeneity:
## QE(df = 24) = 54.7823, p-val = 0.0003
##
## Test of Moderators (coefficient(s) 1,2):
## QM(df = 2) = 148.9380, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## Ry_pres21Low -0.4281 0.0684 -6.2577 <.0001 -0.5622 -0.2940
## Ry_pres22High -0.7041 0.0672 -10.4775 <.0001 -0.8358 -0.5724
| Ry_pres21Low |
-0.43 |
-0.56 |
-0.29 |
-0.40 |
-0.51 |
-0.29 |
| Ry_pres22High |
-0.70 |
-0.84 |
-0.57 |
-0.61 |
-0.68 |
-0.52 |
##
## Random-Effects Model (k = 13; tau^2 estimator: ML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0311 (SE = 0.0238)
## tau (square root of estimated tau^2 value): 0.1762
## I^2 (total heterogeneity / total variability): 51.34%
## H^2 (total variability / sampling variability): 2.06
##
## Test for Heterogeneity:
## Q(df = 12) = 26.7055, p-val = 0.0085
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.4281 0.0683 -6.2692 <.0001 -0.5619 -0.2942
##
## Random-Effects Model (k = 13; tau^2 estimator: ML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0315 (SE = 0.0231)
## tau (square root of estimated tau^2 value): 0.1775
## I^2 (total heterogeneity / total variability): 53.58%
## H^2 (total variability / sampling variability): 2.15
##
## Test for Heterogeneity:
## Q(df = 12) = 28.0768, p-val = 0.0054
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.7041 0.0673 -10.4594 <.0001 -0.8361 -0.5722