Get the t-statistics from a lmFit object.
getT(lmFitObj, coiIndex = 2L)A lmFit object.
An integer specifying the coefficent of interest in the model for which to get the t-statistics for.
A two column matrix with the t-statistics and the p-values of the coefficient of interest.
## From lmFit() example page
sd <- 0.3 * sqrt(4 / rchisq(100, df = 4))
y <- matrix(rnorm(100 * 6, sd = sd), 100, 6)
rownames(y) <- paste("Gene", seq_len(100))
y[seq_len(2), seq_len(3) + 3] <- y[seq_len(2), seq_len(3) + 3] + 2
design <- cbind(Grp1 = 1, Grp2vs1 = c(0, 0, 0, 1, 1, 1))
# Ordinary fit
library("limma")
fit <- lmFit(y, design)
## Get Ts
getT(fit)
#> Tstatistic pvalue
#> Gene 1 3.262265131 3.101447e-02
#> Gene 2 33.059889115 4.992307e-06
#> Gene 3 0.283413515 7.909234e-01
#> Gene 4 1.777077105 1.501951e-01
#> Gene 5 1.373944846 2.414227e-01
#> Gene 6 -0.060574643 9.546037e-01
#> Gene 7 1.927680961 1.261515e-01
#> Gene 8 -0.667407327 5.410430e-01
#> Gene 9 0.682769363 5.322455e-01
#> Gene 10 -0.748562483 4.957358e-01
#> Gene 11 -0.045440496 9.659343e-01
#> Gene 12 3.565587786 2.346825e-02
#> Gene 13 0.163119344 8.783340e-01
#> Gene 14 -1.274426896 2.715157e-01
#> Gene 15 3.173937160 3.373036e-02
#> Gene 16 0.982504386 3.814781e-01
#> Gene 17 -0.436093942 6.852726e-01
#> Gene 18 1.397029032 2.349243e-01
#> Gene 19 1.307573493 2.611082e-01
#> Gene 20 -0.195433030 8.545800e-01
#> Gene 21 0.333634624 7.554121e-01
#> Gene 22 -0.844472296 4.459537e-01
#> Gene 23 1.568632461 1.918114e-01
#> Gene 24 2.183278159 9.439806e-02
#> Gene 25 0.202241597 8.495976e-01
#> Gene 26 -0.905527340 4.163979e-01
#> Gene 27 0.552914456 6.097666e-01
#> Gene 28 0.929367412 4.053056e-01
#> Gene 29 0.207140707 8.460177e-01
#> Gene 30 1.906104654 1.293253e-01
#> Gene 31 1.064059471 3.472715e-01
#> Gene 32 -0.436784278 6.848117e-01
#> Gene 33 1.535265116 1.995144e-01
#> Gene 34 0.214663918 8.405292e-01
#> Gene 35 0.268658850 8.014794e-01
#> Gene 36 -0.898528108 4.197022e-01
#> Gene 37 1.949094340 1.230851e-01
#> Gene 38 -0.198787325 8.521243e-01
#> Gene 39 0.203892866 8.483905e-01
#> Gene 40 -0.310990404 7.713405e-01
#> Gene 41 -0.351423443 7.430009e-01
#> Gene 42 4.061107230 1.533472e-02
#> Gene 43 -0.425486209 6.923757e-01
#> Gene 44 -0.672716523 5.379910e-01
#> Gene 45 -1.625347902 1.794143e-01
#> Gene 46 -0.885078415 4.261125e-01
#> Gene 47 -3.944255615 1.689928e-02
#> Gene 48 -1.193754009 2.985307e-01
#> Gene 49 -0.640328198 5.567986e-01
#> Gene 50 -1.160080580 3.105401e-01
#> Gene 51 0.841267678 4.475508e-01
#> Gene 52 0.953192270 3.944698e-01
#> Gene 53 -0.219755851 8.368206e-01
#> Gene 54 0.824670244 4.558959e-01
#> Gene 55 -0.936241491 4.021536e-01
#> Gene 56 0.909672645 4.144512e-01
#> Gene 57 2.251529464 8.749685e-02
#> Gene 58 3.399548327 2.728868e-02
#> Gene 59 1.590579903 1.869122e-01
#> Gene 60 -0.729307428 5.062234e-01
#> Gene 61 -0.402960500 7.075857e-01
#> Gene 62 -0.291972241 7.848248e-01
#> Gene 63 0.027384991 9.794645e-01
#> Gene 64 0.861045674 4.377669e-01
#> Gene 65 0.015218467 9.885867e-01
#> Gene 66 1.522867419 2.024566e-01
#> Gene 67 -0.744900071 4.977180e-01
#> Gene 68 0.250381639 8.146267e-01
#> Gene 69 0.305647650 7.751190e-01
#> Gene 70 1.215044821 2.911634e-01
#> Gene 71 0.977069033 3.838590e-01
#> Gene 72 0.083288095 9.376240e-01
#> Gene 73 0.303039181 7.769666e-01
#> Gene 74 -0.004249881 9.968126e-01
#> Gene 75 -0.364131469 7.341917e-01
#> Gene 76 0.896476038 4.206751e-01
#> Gene 77 -0.868736775 4.340093e-01
#> Gene 78 1.274606156 2.714583e-01
#> Gene 79 0.252066970 8.134112e-01
#> Gene 80 -0.106113455 9.206011e-01
#> Gene 81 0.642467757 5.555423e-01
#> Gene 82 -2.236468784 8.896977e-02
#> Gene 83 0.287295642 7.881549e-01
#> Gene 84 0.153383931 8.855224e-01
#> Gene 85 1.329446037 2.544535e-01
#> Gene 86 1.749419085 1.551214e-01
#> Gene 87 -0.481545904 6.552881e-01
#> Gene 88 -1.319196574 2.575511e-01
#> Gene 89 -2.457499817 6.987905e-02
#> Gene 90 1.379846121 2.397447e-01
#> Gene 91 -5.003565353 7.471569e-03
#> Gene 92 1.944168103 1.237833e-01
#> Gene 93 -0.260985514 8.069897e-01
#> Gene 94 0.451489459 6.750334e-01
#> Gene 95 0.286172433 7.889555e-01
#> Gene 96 -0.053609054 9.598173e-01
#> Gene 97 -0.964284943 3.895094e-01
#> Gene 98 0.512182644 6.355062e-01
#> Gene 99 -1.005715835 3.714540e-01
#> Gene 100 0.001139672 9.991452e-01