Sample cells with replacement to find bootstrapped distribution of coefficients
bootVcov1(zlmfit, R = 99)
zlmfit | class |
---|---|
R | number of bootstrap replicates |
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 17.46965 16.89951 20.72459 19.90869 #> [2,] 18.36717 17.61151 16.64865 19.75643 20.71866 #> [3,] 17.91939 17.44809 16.96620 20.60644 19.04128 #> #> , , Stim.ConditionUnstim, C #> #> B3GAT1 BAX BCL2 CCL2 CCL3 #> [1,] -1.131699 -0.1563268 NA -4.113399 NA #> [2,] NA -0.8466501 1.0940388 -3.145247 NA #> [3,] -1.521891 -0.3579848 0.7764937 NA NA #> #> , , (Intercept), D #> #> B3GAT1 BAX BCL2 CCL2 CCL3 #> [1,] -4.680719 -0.7058351 -3.238146 -4.406924 -3.086815 #> [2,] -5.173307 -0.8811090 -3.490360 -4.006445 -3.083826 #> [3,] -4.411800 -0.8237235 -3.079615 -3.629684 -2.501701 #> #> , , Stim.ConditionUnstim, D #> #> B3GAT1 BAX BCL2 CCL2 CCL3 #> [1,] 0.30794931 0.3085795 -2.1490933 0.07269859 -2.254081 #> [2,] -0.97567379 0.8231271 -0.7345896 -0.28480144 -2.265008 #> [3,] 0.09963289 0.4694632 -1.0603040 -1.86773695 -2.653906 #>