我们需要 'x' 为 dat1$value,因为未指定第一个参数为 'x',第二个参数为 'g'
pairwise.t.test( dat1$value, dat1$key, p.adj = "holm")
#data: dat1$value and dat1$key
# V W X Y
#W 1.000 - - -
#X 0.018 0.018 - -
#Y 1.000 1.000 0.018 -
#Z 4.1e-08 4.1e-08 2.8e-06 4.1e-08
#P value adjustment method: holm
或者我们指定参数并以我们想要的任何顺序使用
pairwise.t.test(g = dat1$key, x= dat1$value, p.adj = "holm")
关于TukeyHSD
TukeyHSD(aov(value~key, data = dat1), ordered = TRUE)
#Tukey multiple comparisons of means
# 95% family-wise confidence level
# factor levels have been ordered
#Fit: aov(formula = value ~ key, data = dat1)
#$key
# diff lwr upr p adj
#Y-V 2.00 -233.42378 237.4238 0.9999999
#W-V 8.00 -227.42378 243.4238 0.9999691
#X-V 270.00 34.57622 505.4238 0.0211466
#Z-V 919.25 683.82622 1154.6738 0.0000000
#W-Y 6.00 -229.42378 241.4238 0.9999902
#X-Y 268.00 32.57622 503.4238 0.0222406
#Z-Y 917.25 681.82622 1152.6738 0.0000000
#X-W 262.00 26.57622 497.4238 0.0258644
#Z-W 911.25 675.82622 1146.6738 0.0000000
#Z-X 649.25 413.82622 884.6738 0.0000034