t-test: p=0.341712
Neutral set average density: 0.116368
Different set average density: 0.117422
motif_present gene_set absent present different 1 993 neutral 3 1950
Fisher's exact test: p=1
Binomial GLM: p=0.713768
Call: glm(formula = motif_present ~ different, family = binomial, data = daf) Deviance Residuals: Min 1Q Median 3Q Max -3.7153 0.0449 0.0554 0.0554 0.0554 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) 6.4770 0.5778 11.210 <2e-16 *** differentTRUE 0.4238 1.1553 0.367 0.714 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 60.813 on 2946 degrees of freedom Residual deviance: 60.669 on 2945 degrees of freedom AIC: 64.669 Number of Fisher Scoring iterations: 9
Binomial GLM adjusted for length: p=0.485581
Call: glm(formula = motif_present ~ length + different, family = binomial, data = daf) Deviance Residuals: Min 1Q Median 3Q Max -2.285 0.000 0.000 0.000 1.311 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -6.4007 3.3544 -1.908 0.0564 . length 0.3551 0.1430 2.483 0.0130 * differentTRUE -1.0095 1.4476 -0.697 0.4856 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 60.813 on 2946 degrees of freedom Residual deviance: 20.806 on 2944 degrees of freedom AIC: 26.806 Number of Fisher Scoring iterations: 17