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Feb 22nd, 2018
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  1. This is my code:
  2. model_glmer <- glmer(Slide4_YesNo ~ ZcNOF * Old_Lure + ZcMeanS * Old_Lure +
  3. ZcMeanCorStrWithin * Old_Lure + ZcSlope * Old_Lure +
  4. (1 | Subject) +
  5. (1 | WordCat),
  6. family = "binomial",
  7. #nAGQ = 0,
  8. control = glmerControl(optCtrl=list(maxfun=6e4)), # <- this
  9. is the controller, it means running to 60000 times
  10. data = pilot)
  11.  
  12. Fixed effects:
  13. Estimate Std. Error z value Pr(>|z|)
  14. (Intercept) -2.11101 0.11298 -18.68 < 2e-16 ***
  15. ZcNOF 0.18156 0.08554 2.12 0.033807 *
  16. Old_LureOld 4.00050 0.10043 39.83 < 2e-16 ***
  17. ZcMeanS 0.06337 0.09008 0.70 0.481798
  18. ZcMeanCorStrWithin -0.08477 0.08046 -1.05 0.292105
  19. ZcSlope -0.24221 0.07932 -3.05 0.002261 **
  20. ZcNOF:Old_LureOld -0.49962 0.10051 -4.97 6.66e-07 ***
  21. Old_LureOld:ZcMeanS -0.30082 0.10894 -2.76 0.005756 **
  22. Old_LureOld:ZcMeanCorStrWithin -0.03581 0.10051 -0.36 0.721625
  23. Old_LureOld:ZcSlope 0.35940 0.09247 3.89 0.000102 ***
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