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Jul 22nd, 2014
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  1. Call:
  2. glm(formula = Expression ~ genotype + prep.no + sex, family = poisson(link = "log"),
  3. data = ERAPdata)
  4.  
  5. Deviance Residuals:
  6. Min 1Q Median 3Q Max
  7. -24.9946 -5.8912 -0.3892 4.6403 25.2830
  8.  
  9. Coefficients:
  10. Estimate Std. Error z value Pr(>|z|)
  11. (Intercept) 8.081717 0.004232 1909.463 < 2e-16 ***
  12. genotype1 -0.025497 0.003396 -7.507 6.05e-14 ***
  13. genotype2 -0.091365 0.007384 -12.374 < 2e-16 ***
  14. prep.no2 -0.006075 0.005313 -1.143 0.252864
  15. prep.no3 0.001074 0.005412 0.198 0.842676
  16. prep.no4 -0.007511 0.005791 -1.297 0.194621
  17. prep.no5 -0.006958 0.005539 -1.256 0.209031
  18. prep.no6 0.023217 0.005812 3.994 6.49e-05 ***
  19. prep.no7 0.026062 0.007411 3.517 0.000437 ***
  20. sex1 0.015740 0.003433 4.584 4.56e-06 ***
  21. ---
  22. Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
  23.  
  24. (Dispersion parameter for poisson family taken to be 1)
  25.  
  26. Null deviance: 9662.4 on 131 degrees of freedom
  27. Residual deviance: 9384.5 on 122 degrees of freedom
  28. AIC: 10711
  29.  
  30. Number of Fisher Scoring iterations: 4
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