t-test: p=1.51599e-12
Neutral set average density: 0.0861155
Different set average density: 0.0792988
motif_present gene_set absent present different 1 993 neutral 2 1951
Fisher's exact test: p=1
Binomial GLM: p=0.988422
Call: glm(formula = motif_present ~ different, family = binomial, data = daf) Deviance Residuals: Min 1Q Median 3Q Max -3.7153 0.0449 0.0453 0.0453 0.0453 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) 6.88295 0.70741 9.730 <2e-16 *** differentTRUE 0.01778 1.22526 0.015 0.988 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 47.337 on 2946 degrees of freedom Residual deviance: 47.336 on 2945 degrees of freedom AIC: 51.336 Number of Fisher Scoring iterations: 9
Binomial GLM adjusted for length: p=0.342961
Call: glm(formula = motif_present ~ length + different, family = binomial, data = daf) Deviance Residuals: Min 1Q Median 3Q Max -2.66187 0.00000 0.00000 0.00017 1.00186 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -2.7961 2.4707 -1.132 0.2578 length 0.2253 0.0912 2.471 0.0135 * differentTRUE -1.2827 1.3526 -0.948 0.3430 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 47.337 on 2946 degrees of freedom Residual deviance: 21.818 on 2944 degrees of freedom AIC: 27.818 Number of Fisher Scoring iterations: 16