Sample cells with replacement to find bootstrapped distribution of coefficients
bootVcov1(zlmfit, R = 99)
ZlmFit
array of bootstrapped coefficients
#> #>#Only run 3 boot straps, which you wouldn't ever want to do in practice... bootVcov1(zlmVbeta, R=3)#> , , (Intercept), C #> #> B3GAT1 BAX BCL2 CCL2 CCL3 #> [1,] 17.52920 17.48691 16.77870 20.01302 19.13253 #> [2,] 18.19441 17.54991 16.76706 19.70885 20.52116 #> [3,] 18.00578 17.58160 16.75576 21.22542 19.70763 #> #> , , Stim.ConditionUnstim, C #> #> B3GAT1 BAX BCL2 CCL2 CCL3 #> [1,] NA -0.3720450 0.9639972 -3.401836 NA #> [2,] -1.796906 -0.4763284 0.9756323 -3.097662 NA #> [3,] -1.608273 -0.6175768 0.9869322 -4.614238 NA #> #> , , (Intercept), D #> #> B3GAT1 BAX BCL2 CCL2 CCL3 #> [1,] -4.751170 -0.6476540 -3.383865 -3.709211 -2.767473 #> [2,] -5.033621 -0.7515253 -3.470202 -4.168534 -2.929278 #> [3,] -4.406924 -0.8149404 -3.073736 -3.600761 -2.727283 #> #> , , Stim.ConditionUnstim, D #> #> B3GAT1 BAX BCL2 CCL2 CCL3 #> [1,] -1.22311265 0.2708041 -0.8611608 -0.5764981 -2.516045 #> [2,] 0.52516421 0.7226114 -0.8279500 -0.2189815 -2.433842 #> [3,] 0.07269859 0.5753209 -1.0888339 -0.6267204 -2.509133 #>