请教大神：
在《R语言实战》中提到可用coin包中的oneway_test函数做置换检验，但怎么提取出里面的P值来？


library(coin)
score <- c(40, 57, 45, 55, 58, 57, 64, 55, 62, 65)
treatment <- factor(c(rep("A", 5), rep("B", 5)))
mydata <- data.frame(treatment, score)
t.test(score ~ treatment, data = mydata, var.equal = TRUE)
fit<-oneway_test(score ~ treatment, data = mydata, distribution = "exact")
fit


        Exact Two-Sample Fisher-Pitman Permutation Test

data:  score by treatment (A, B)
Z = -1.9147, p-value = 0.07143
alternative hypothesis: true mu is not equal to 0



另外，这里的Z值为-1.9147,但根据Z值来求P值的话：pnorm(-1.9147)*2=0.0555，与上面的P值也不同，但与下面的置换检验（参数 distribution取“asymptotic”）中P值相同，想问一下：为何两个不同的参数，得到同一个Z值，但得到不同的P值，谢谢！
> oneway_test(score ~ treatment, data = mydata, distribution = "asymptotic")

        Asymptotic Two-Sample Fisher-Pitman Permutation Test

data:  score by treatment (A, B)
Z = -1.9147, p-value = 0.05553
alternative hypothesis: true mu is not equal to 0